Machine Learning Techniques to Identify Putative Genes Involved in Nitrogen Catabolite Repression in the Yeast Saccharomyces cerevisiae

author: Kevin Kontos, Université Libre de Bruxelles

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*Slides*
0:00	- Machine Learning Techniques to Identify Putative Genes Involved in Nitrogen Catabolite Repression in the Yeast Saccharomyces cerevisiae - Announcement
0:07	Machine Learning Techniques to Identify Putative Genes Involved in Nitrogen Catabolite Repression in the Yeast Saccharomyces cerevisiae
0:38	Outline
0:42	- Introduction
0:43	Nitrogen Catabolite Repression (NCR)
1:38	Which Genes are Involved in NCR?
2:37	ML Techniques for Identifying Putative NCR genes
3:44	Our Approach
4:10	- Materials and Methods
4:12	GATA Box - 1
4:34	GATA Box - 2
5:21	GATA Box - 3
5:50	Upstream Sequence Variables
6:30	Training Sets
7:28	Overview
7:36	Variable Selection
7:57	Filter Method
8:42	Wrapper Method
9:11	Performance Assessment
9:27	Posterior Probability Correction
9:55	Classifiers
10:04	- Validation and Results
10:05	"Gold Standard" - 1
10:48	ROC Curves - ANCR+NNCR
11:26	"Gold Standard" - 2
11:51	ROC Curves - ANCRext+NNCR
12:09	Negative Control
12:21	ROC Curves - ANCRext+NNCR
12:33	Negative Control
12:34	Gene Set Comparisons - 1
13:05	Gene Set Comparisons - 2
13:15	Gene Set Comparisons - 3
13:48	Analysis of the Selected Variables
14:49	- Conclusion and Future Work
14:51	Conclusion
15:15	Future Work
16:30	- Questions
17:00	- Questions
17:21	- Questions
17:48	- Questions
18:14	- Questions
19:01	- Questions
19:25	- Questions

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