Learning and Inference in Computational Systems Biology

Gaussian process modelling of latent chemical species: Applications to inferring transcription factor activity

author: Pei Gao, School of Computer Science, University of Manchester

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*Slides*
0:00	Gaussian Process Modelling of Latent Chemical Species
0:11	Introduction
0:54	Gene Transcription Regulation
2:03	Notations
3:30	Linear Activation Response
4:37	Gaussian Process Inference for the Linear Model
6:18	Example: Inferring p53 Activity Using the Linear Model
8:18	Results for p53 Using the Linear Model
9:36	Nonlinear Response Model
10:58	Nonlinear Activation Model
11:39	MAP-Laplace Approximation
13:06	Results for p53 Using Nonlinear Activation Model
14:21	Nonlinear Repression Model
15:04	Example: Inferring the Repressor LexA Activity
16:41	Results for the Repressor LexA
18:56	Cascaded Differential Equations
20:29	Example: Inferring the Mef2 Activity
21:32	Results for Mef2 by Using the Cascaded Model
22:12	Discussion and Future Work
22:20	Results for Mef2 by Using the Cascaded Model
22:50	Discussion and Future Work
23:13	Acknowledgement
24:43	- Questions
27:33	- Questions

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