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Machine Learning in Systems Biology

Gene-based bin analysis of genome-wide association studies

author: Nicolas Omont, Serono, biotech and beyond
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Slides
0:00 Bin analysis of genome-wide association study
0:34 Bin analysis of genome-wide study - 1
0:58 Transmission and recombination
2:09 Haplotype blocks (HB)
3:09 Data – association study
3:11 Genetic disease - 1
4:12 Genetic disease - 2
4:54 Association study: example - 1
6:36 Association study: cost problem
7:03 Single nucleotide polymorphism
8:25 Association study: example - 2
9:06 Association study: example - 3
10:56 The Serono association study
12:20 Analysis
12:35 Method
12:44 The ideal vision
14:17 FDR estimation (no control)
17:03 Multiple testing problem - 1
17:54 Multiple testing problem - 2
19:05 Bin definition - 1
20:26 Bin definition - 2
21:02 Bin definition: loss of power example - 1
21:29 Bin definition: loss of power example - 2
21:30 Statistical test:
22:17 Estimation
23:02 Results
23:02 Results: bins
24:03 P-value distribution
25:17 FDR: FDR vs p-value
25:46 Number of bins selected
26:23 FDR overestimation
27:09 Conclusion - 1
28:05 Conclusion - 2
28:42 - Questions
29:41 - Questions

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