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NIPS ´08 Workshop: Machine Learning in Computational Biology

Detecting the Presence and Absence of Causal Relationships Between Expression of Yeast Genes with Very Few Samples

author:Eun Yong Kang, University of California, Los Angeles, UCLA
published: Dec. 20, 2008, recorded: December 2008, views: 104

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Slides

Slides
0:00	Detecting Presence and Absence of Causal Relationships Between Expression of Yeast Genes with Very Few Samples
0:13	Network Reconstruction of Biological System
2:37	Network Reconstruction Based on Correlation
3:38	Network Reconstruction Based on Causal Inference
3:45	Identifying Causal Relationships between Genes
4:04	Correlation Network for this Triplet
4:37	We Have a Hint for Certain Edges!
4:52	4 Possible Models
6:28	Theorem 1 (Infinite Sample Case)
7:29	Model Selection among Possible Models (Finite Sample Case)
9:05	Identifying Absence of Causal Relationship between Gene Expression Levels
9:28	Theorem 2 - 1
10:28	Theorem 2 - 3
10:36	Theorem 2 - 3
11:05	Experiment for the Validation
11:24	Result on Yeast Dataset
11:53	Regulatory Hotspot Analysis - 1
14:29	Regulators with an Asterisk
15:27	Regulatory Hotspot Analysis - 2
16:30	Conclusion
17:00	- Questions
17:41	- Questions
21:16	- Questions
21:49	- Questions
22:17	- Questions
23:45	- Questions

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