Third International Workshop on Machine Learning in Systems Biology

Evaluation Of Signaling Cascades Based On The Weights From Microarray And ChIP-seq Data

author:Zerrin Işık, Middle East Technical University
published: Oct. 5, 2009, recorded: September 2009, views: 33

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Slides

Slides
0:00	Evaluation of Signaling Cascades Based on theWeights from Microarray and ChIP-seq Data
0:19	Content - 1
0:40	Traditional Analysis of Microarray Data - 1
1:05	Traditional Analysis of Microarray Data - 2
1:23	Traditional Analysis of Microarray Data - 3
1:37	Traditional Analysis of Microarray Data - 4
1:47	Our Framework
2:22	Content - 2
2:32	Chromatin ImmunoPrecipitation
3:22	ChIP-Sequencing
3:44	Analysis of ChIP-seq Data - 1
4:15	Analysis Steps of ChIP-seq Data - 2
4:32	Analysis Steps of ChIP-seq Data - 3
5:09	Further Analysis of ChIP-Seq Data
5:31	Content - 3
5:38	Our Framework
6:22	Data Set
7:01	Analysis of Raw ChIP-Seq Data - 1
7:44	Analysis of Raw ChIP-Seq Data - 2
8:06	Analysis of Raw ChIP-Seq Data - 3
8:46	ChIP-Seq Data Ranking
9:24	Microarray Data Analysis
9:49	Microarray Data Ranking
10:08	Integration of ChIP-Seq and Microarray Data - 1
10:37	Integration of ChIP-Seq and Microarray Data - 2
10:48	Content - 4
10:57	Scoringof Signaling Cascades
11:15	KGML example - 1
11:33	KGML example - 2
11:40	Algorithm 1: Computing Score of Signaling Cascades
11:53	JAK-STAT SIGNALING PATHWAY - 1
11:58	JAK-STAT SIGNALING PATHWAY - 2
12:12	Score Computation on Graph - 1
12:54	Score Computation on Graph - 2
13:13	Score Computation on Graph - 3
13:31	Score Computation on Graph - 4
13:47	Score Computation on Graph - 5
13:51	Scoring Measures of Outcome Process
14:30	Content - 5
14:35	Evaluated Signaling Cascades - 1
14:42	Evaluated Signaling Cascades - 2
14:49	Evaluated Signaling Cascades - 3
15:19	Result of KegArray Tool
16:07	Enrichment Scores of Outcome Processes
16:59	Conclusion
17:31	Future Work
18:00	Acknowledgement
18:19	Evaluation of Signaling Cascades Based on theWeights from Microarray and ChIP-seq Data

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