4. To Get an EdgeTo Get an Edge
Correlations or
Knockout Measures1
Shazam for data series
1
Improved Reconstruction of In Silico Gene Regulatory Networks by Integrating Knockout and Perturbation Data
By: Yip, Kevin Y.; Alexander, Roger P.; Yan, Koon-Kiu; et al. PLOS ONE Volume: 5 Issue: 1 Published: JAN 26 2010
5. From Graph to ResponseFrom Graph to Response
Is an edge in a signals system isomorphic
to an edge in a physical system?
6. The Problem of ScalingThe Problem of Scaling
1 million pair interactions in ~2 seconds, but
O(N2
) scaling in nodes
Solution is to cluster nodes1
◦ Conservation laws reduce the dimensionality of the graph, but
◦ Not real-time (yet)
◦ Related questions
1
Distilling Free-Form Natural Laws from Experimental Data
By: Schmidt, Michael; Lipson, Hod SCIENCE Volume: 324 Issue: 5923 Pages: 81-85 Published: APR 3 2009
8. Is This ML?Is This ML?
Principle of ML:
X 1000000’s
◦ Accumulation of knowledge
◦ Don’t repeat mistakes (hopefully)
9. ML ComparisonML Comparison
ML (ANN) Altaridey
Analogy Brain-like, cognitive Cell-like, reactive
Gets smarter
with age
possibly no
Vert Data
requirements
high low
Advantages Very fast once trained; Real-time; system-
agnostic;
Disadvantages Training is system-
specific and takes time
Resource utilization high
throughout;
Dynamic control theory requires frequent maintenance of
the model; “substitute speed for intelligence”
