SlideShare une entreprise Scribd logo

Mining text and data on chemicals

•Télécharger en tant que PPT, PDF•
•
Lars Juhl Jensen
Lars Juhl Jensen
TechnologieBusiness
1  sur  115
Mining text and data on chemicals Lars Juhl Jensen
three parts
text mining
data integration
medical records
Part 1 text mining
exponential growth
some things are constant
~45 seconds per paper
information retrieval
find the relevant papers
still too much to read
computer
as smart as a dog
teach it specific tricks
named entity recognition
identify the concepts
small molecules
proteins
diseases
comprehensive lexicon
synonyms
orthographic variation
“black list”
unfortunate names
Reflect
augmented browsing
browser add-on
Pafilis, O’Donoghue, Jensen et al., Nature Biotechnology, 2009 O’Donoghue et al., Journal of Web Semantics, 2010
Firefox
Internet Explorer
Google Chrome
Safari
Utopia Documents
web services
collaboration
SciVerse
information extraction
formalize the facts
co-mentioning
NLP Natural Language Processing
Gene and protein names Cue words for entity recognition Verbs for relation extraction [nxexpr The expression of [nxgene the cytochrome genes [nxpg CYC1 and CYC7]]] is controlled by [nxpg HAP1]
Part 2 data integration
STITCH
Kuhn et al., Nucleic Acids Research, 2012
~300,000 small molecules
~2.6 million proteins
1100+ genomes
experimental data
physical binding
chemical–protein
protein–protein
curated knowledge
drug targets
complexes
pathways
Letunic & Bork, Trends in Biochemical Sciences, 2008
text mining
co-mentioning
NLP Natural Language Processing
many data types
many databases
different formats
different identifiers
variable quality
not comparable
spread over many genomes
quality scores
von Mering et al., Nucleic Acids Research, 2005
calibrate vs. gold standard
von Mering et al., Nucleic Acids Research, 2005
probabilistic scores
orthology transfer
combine the evidence
Part 3 patient records
a hard problem
in Danish
by busy doctors
about psychiatric patients
no lexicon
acronyms
typos
delusions
domain specific system
patient record excerpt
Negation F20 F200 Family
medication
adverse drug events
diagnoses
pharmacovigilance
patient stratification
Roque et al., PLoS Computational Biology, 2011
disease comorbidity
Roque et al., PLoS Computational Biology, 2011
DNA sequencing
genotype
phenotype
Acknowledgments Reflect STITCH EPJ-mining Sune Frankild Michael Kuhn Francisco S Roque Heiko Horn Damian Szklarczyk Peter B Jensen Evangelos Pafilis Andrea Robert Eriksson Juan-Carlos Silla-Castro Franceschini Henriette Schmock Michael Kuhn Milan Simonovic Marlene Dalgaard Reinhardt Schneider Alexander Roth Massimo Andreatta Sean O’Donoghue Pablo Minguez Thomas Hansen Tobias Doerks Karen Søeby Manuel Stark Søren Bredkjær Christian von Anders Juul Mering Thomas Werge Peer Bork Søren Brunak
larsjuhljensen

Recommandé

Protein and disease networks
Protein and disease networksProtein and disease networks
Protein and disease networksLars Juhl Jensen
 
Interaction networks - Prediction, data integration and text mining
Interaction networks - Prediction, data integration and text miningInteraction networks - Prediction, data integration and text mining
Interaction networks - Prediction, data integration and text miningLars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
Network biology
Network biologyNetwork biology
Network biologyLars Juhl Jensen
 
Network integration of data and text
Network integration of data and textNetwork integration of data and text
Network integration of data and textLars Juhl Jensen
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical recordsLars Juhl Jensen
 
Text-mining practical
Text-mining practicalText-mining practical
Text-mining practicalLars Juhl Jensen
 
Turning literature into databases
Turning literature into databasesTurning literature into databases
Turning literature into databasesLars Juhl Jensen
 

Recommandé

Protein and disease networks
Protein and disease networksProtein and disease networks
Protein and disease networksLars Juhl Jensen
 
Interaction networks - Prediction, data integration and text mining
Interaction networks - Prediction, data integration and text miningInteraction networks - Prediction, data integration and text mining
Interaction networks - Prediction, data integration and text miningLars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
Network biology
Network biologyNetwork biology
Network biologyLars Juhl Jensen
 
Network integration of data and text
Network integration of data and textNetwork integration of data and text
Network integration of data and textLars Juhl Jensen
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical recordsLars Juhl Jensen
 
Text-mining practical
Text-mining practicalText-mining practical
Text-mining practicalLars Juhl Jensen
 
Turning literature into databases
Turning literature into databasesTurning literature into databases
Turning literature into databasesLars Juhl Jensen
 
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningNetwork biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningLars Juhl Jensen
 
The pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health recordsThe pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health recordsLars Juhl Jensen
 
Disease Systems Biology
Disease Systems BiologyDisease Systems Biology
Disease Systems BiologyLars Juhl Jensen
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical recordsLars Juhl Jensen
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and textLars Juhl Jensen
 
Network biology
Network biologyNetwork biology
Network biologyLars Juhl Jensen
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identificationLars Juhl Jensen
 
Network biology - Large-scale biomedical data and text mining
Network biology - Large-scale biomedical data and text miningNetwork biology - Large-scale biomedical data and text mining
Network biology - Large-scale biomedical data and text miningLars Juhl Jensen
 
Data integration: The STITCH database of protein–small molecule interactions
Data integration: The STITCH database of protein–small molecule interactionsData integration: The STITCH database of protein–small molecule interactions
Data integration: The STITCH database of protein–small molecule interactionsLars Juhl Jensen
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identificationLars Juhl Jensen
 
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?MobilActif
 
MoWall by MobilActif - Animation Photo Interactive
MoWall by MobilActif - Animation Photo InteractiveMoWall by MobilActif - Animation Photo Interactive
MoWall by MobilActif - Animation Photo InteractiveMobilActif
 
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelSystems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelLars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
Mining biomedical texts
Mining biomedical textsMining biomedical texts
Mining biomedical textsLars Juhl Jensen
 
Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningNetwork biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningLars Juhl Jensen
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsLars Juhl Jensen
 
Disease Systems Biology
Disease Systems BiologyDisease Systems Biology
Disease Systems BiologyLars Juhl Jensen
 
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningNetwork biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningLars Juhl Jensen
 
Network biology - Large-scale data integration and text mining
Network biology - Large-scale data integration and text miningNetwork biology - Large-scale data integration and text mining
Network biology - Large-scale data integration and text miningLars Juhl Jensen
 
Reflect and friends - Tools and resources for mining biomedical text
Reflect and friends - Tools and resources for mining biomedical textReflect and friends - Tools and resources for mining biomedical text
Reflect and friends - Tools and resources for mining biomedical textLars Juhl Jensen
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsLars Juhl Jensen
 

Contenu connexe

En vedette

Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningNetwork biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningLars Juhl Jensen
 
The pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health recordsThe pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health recordsLars Juhl Jensen
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical recordsLars Juhl Jensen
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and textLars Juhl Jensen
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identificationLars Juhl Jensen
 
Network biology - Large-scale biomedical data and text mining
Network biology - Large-scale biomedical data and text miningNetwork biology - Large-scale biomedical data and text mining
Network biology - Large-scale biomedical data and text miningLars Juhl Jensen
 
Data integration: The STITCH database of protein–small molecule interactions
Data integration: The STITCH database of protein–small molecule interactionsData integration: The STITCH database of protein–small molecule interactions
Data integration: The STITCH database of protein–small molecule interactionsLars Juhl Jensen
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identificationLars Juhl Jensen
 
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?MobilActif
 
MoWall by MobilActif - Animation Photo Interactive
MoWall by MobilActif - Animation Photo InteractiveMoWall by MobilActif - Animation Photo Interactive
MoWall by MobilActif - Animation Photo InteractiveMobilActif
 
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelSystems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelLars Juhl Jensen
 

En vedette (13)

Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningNetwork biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text mining
 
The pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health recordsThe pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health records
 
Disease Systems Biology
Disease Systems BiologyDisease Systems Biology
Disease Systems Biology
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical records
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and text
 
Network biology
Network biologyNetwork biology
Network biology
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identification
 
Network biology - Large-scale biomedical data and text mining
Network biology - Large-scale biomedical data and text miningNetwork biology - Large-scale biomedical data and text mining
Network biology - Large-scale biomedical data and text mining
 
Data integration: The STITCH database of protein–small molecule interactions
Data integration: The STITCH database of protein–small molecule interactionsData integration: The STITCH database of protein–small molecule interactions
Data integration: The STITCH database of protein–small molecule interactions
 
Using side effects for drug target identification
Using side effects for drug target identificationUsing side effects for drug target identification
Using side effects for drug target identification
 
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
MobilActif - Comment intégrer les questions SMS au sein de votre événement ?
 
MoWall by MobilActif - Animation Photo Interactive
MoWall by MobilActif - Animation Photo InteractiveMoWall by MobilActif - Animation Photo Interactive
MoWall by MobilActif - Animation Photo Interactive
 
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems levelSystems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
 

Similaire à Mining text and data on chemicals

Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningNetwork biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningLars Juhl Jensen
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsLars Juhl Jensen
 
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningNetwork biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningLars Juhl Jensen
 
Network biology - Large-scale data integration and text mining
Network biology - Large-scale data integration and text miningNetwork biology - Large-scale data integration and text mining
Network biology - Large-scale data integration and text miningLars Juhl Jensen
 
Reflect and friends - Tools and resources for mining biomedical text
Reflect and friends - Tools and resources for mining biomedical textReflect and friends - Tools and resources for mining biomedical text
Reflect and friends - Tools and resources for mining biomedical textLars Juhl Jensen
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsLars Juhl Jensen
 
Mining molecules from text and data
Mining molecules from text and dataMining molecules from text and data
Mining molecules from text and dataLars Juhl Jensen
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsLars Juhl Jensen
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsLars Juhl Jensen
 
Visualization of large-scale protein and disease networks
Visualization of large-scale protein and disease networksVisualization of large-scale protein and disease networks
Visualization of large-scale protein and disease networksLars Juhl Jensen
 
Large-scale biomedical data and text integration
Large-scale biomedical data and text integrationLarge-scale biomedical data and text integration
Large-scale biomedical data and text integrationLars Juhl Jensen
 
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text miningNetwork biology: Large-scale data and text mining
Network biology: Large-scale data and text miningLars Juhl Jensen
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseasesLars Juhl Jensen
 
The STRING database and related tools
The STRING database and related toolsThe STRING database and related tools
The STRING database and related toolsLars Juhl Jensen
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and textLars Juhl Jensen
 
Mining heaps of data and piles of papers
Mining heaps of data and piles of papersMining heaps of data and piles of papers
Mining heaps of data and piles of papersLars Juhl Jensen
 

Similaire à Mining text and data on chemicals (20)

Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
Mining biomedical texts
Mining biomedical textsMining biomedical texts
Mining biomedical texts
 
Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text miningNetwork biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text mining
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systems
 
Disease Systems Biology
Disease Systems BiologyDisease Systems Biology
Disease Systems Biology
 
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text miningNetwork biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text mining
 
Network biology - Large-scale data integration and text mining
Network biology - Large-scale data integration and text miningNetwork biology - Large-scale data integration and text mining
Network biology - Large-scale data integration and text mining
 
Reflect and friends - Tools and resources for mining biomedical text
Reflect and friends - Tools and resources for mining biomedical textReflect and friends - Tools and resources for mining biomedical text
Reflect and friends - Tools and resources for mining biomedical text
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomics
 
Mining molecules from text and data
Mining molecules from text and dataMining molecules from text and data
Mining molecules from text and data
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomics
 
Advanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomicsAdvanced bioinformatics methods for proteomics
Advanced bioinformatics methods for proteomics
 
Visualization of large-scale protein and disease networks
Visualization of large-scale protein and disease networksVisualization of large-scale protein and disease networks
Visualization of large-scale protein and disease networks
 
Large-scale biomedical data and text integration
Large-scale biomedical data and text integrationLarge-scale biomedical data and text integration
Large-scale biomedical data and text integration
 
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text miningNetwork biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
 
Networks of proteins and diseases
Networks of proteins and diseasesNetworks of proteins and diseases
Networks of proteins and diseases
 
The STRING database and related tools
The STRING database and related toolsThe STRING database and related tools
The STRING database and related tools
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and text
 
Cellular Network Biology
Cellular Network BiologyCellular Network Biology
Cellular Network Biology
 
Mining heaps of data and piles of papers
Mining heaps of data and piles of papersMining heaps of data and piles of papers
Mining heaps of data and piles of papers
 

Plus de Lars Juhl Jensen

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...Lars Juhl Jensen
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineLars Juhl Jensen
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationLars Juhl Jensen
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeLars Juhl Jensen
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataSTRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataLars Juhl Jensen
 
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textBiomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textLars Juhl Jensen
 
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Lars Juhl Jensen
 
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeNetwork Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeLars Juhl Jensen
 
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textCellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textLars Juhl Jensen
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Lars Juhl Jensen
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataLars Juhl Jensen
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionLars Juhl Jensen
 
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textNetwork Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textLars Juhl Jensen
 
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsMedical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsLars Juhl Jensen
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textLars Juhl Jensen
 
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsMedical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsLars Juhl Jensen
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textLars Juhl Jensen
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationLars Juhl Jensen
 
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literatureThe Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literatureLars Juhl Jensen
 

Plus de Lars Juhl Jensen (20)

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataSTRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous data
 
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textBiomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
 
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
 
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeNetwork Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
 
Cellular networks
Cellular networksCellular networks
Cellular networks
 
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textCellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
 
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textNetwork Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
 
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsMedical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
 
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsMedical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
 
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literatureThe Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
 

Dernier

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 

Dernier (20)

E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 

Mining text and data on chemicals