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Systems genetics with graphical Markov models
Published on Jul 18, 20161107 Views
High-throughput genomic profiling instruments provide a snapshot of the simultaneous activity of molecules within cells. The resulting readouts, obtained in parallel for thousands of different functio
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Systems genetics with graphical Markov models00:00
Barcelona Biomedical Research Park02:52
Joint work with03:35
Motivation - Quantitative genetics - 104:02
Motivation - Quantitative genetics - 204:56
Motivation - Quantitative genetics - 305:39
Motivation - Quantitative genetics on genomics data - 107:46
Motivation - Quantitative genetics on genomics data - 209:10
Untitled12:38
Motivation - Quantitative genetics on genomics data - 414:26
Software availability: the R/Bioconductor package qpgraph17:57
Outline - 119:48
Motivation - Quantitative genetics on genomics data - 521:58
Outline - 224:08
Overview of GMMs - undirected Gaussian GMMs - 124:11
Overview of GMMs - undirected Gaussian GMMs - 225:37
Overview of GMMs - undirected Gaussian GMMs - 328:15
Overview of GMMs - undirected Gaussian GMMs - 429:17
Overview of GMMs - mixed GMMs - 130:01
Overview of GMMs - mixed GMMs - 231:47
Overview of GMMs - mixed GMMs - 433:32
Overview of GMMS - simulation using qpgraph34:35
Outline - 336:33
Propagation of eQTL (genetic) additive eects36:50
Outline - 440:17
Conditional independence in mixed GMMs - 140:18
Conditional independence in mixed GMMs - 240:55
Conditional independence in mixed GMMs - 342:07
Conditional independence in mixed GMMs - 442:28
Conditional independence in mixed GMMs - 543:06
Outline - 545:20
q-order correlation graphs - 145:21
q-order correlation graphs - 246:21
q-order correlation graphs - 553:20
Outline - 653:56
A three-step estimation strategy for eQTL data simulation - 155:53
A three-step estimation strategy for eQTL data simulation - 257:53
A three-step estimation strategy - parameter setup58:08
A three-step estimation strategy - first step - 158:44
A three-step estimation strategy - first step - 259:57
A three-step estimation strategy - second step - 101:00:36
A three-step estimation strategy - second step - 201:01:37
A three-step estimation strategy - third step - 101:02:05
A three-step estimation strategy - third step - 201:02:28
A three-step estimation strategy - third step - 301:04:05
Outline - 701:04:46
Visualization - from dot plot to hive plot01:04:50
Outline - 801:08:03
Analysis of a yeast cross - parameter setup01:08:05
Analysis of a yeast cross - comparative performance - 101:09:01
Analysis of a yeast cross - comparative performance - 201:10:16
Analysis of a yeast cross - comparative performance - 301:11:27
Genetic control of gene expression across chromosomes01:13:10
Analysis of a yeast cross - magnitude of effects - 101:14:22
Analysis of a yeast cross - magnitude of effects - 201:16:52
Analysis of a yeast cross - magnitude of effects - 301:17:43
Outline - 901:17:56
Concluding remarks01:18:05
Bibliography and Acknowledgements01:19:50
q-order correlation graphs - 301:26:02
q-order correlation graphs - 401:27:34
A three-step estimation strategy for eQTL networks - 101:27:48
Overview of GMMs - mixed GMMs - 301:34:06