Statistical and Computational Challenges in Large Scale Molecular Biology
Videos from BIRS Workshop
Eric Xing, Carnegie Mellon University
Monday Mar 27, 2017 09:18 - 10:20
Large scale machine learning tutorial
Gen Li, Columbia University
Monday Mar 27, 2017 10:36 - 11:02
QRank: A novel quantile regression tool for eQTL discovery
Laurent Jacob, Centre national de la recherche scientifique
Monday Mar 27, 2017 11:03 - 11:28
Representing Genetic Determinants in Bacterial GWAS with Compacted De Bruijn Graphs
Pierre Neuvial, CNRS
Monday Mar 27, 2017 11:30 - 11:55
Post hoc inference for multiple testing
Aaron Quinlan, University of Utah
Monday Mar 27, 2017 14:20 - 14:45
Inferring function from constrained coding regions in the human genome
Jason Ernst, UCLA
Monday Mar 27, 2017 15:31 - 15:55
Systematic Discovery of Conservation States for Single-Nucleotide Annotation of the Human Genome
Kasper Hansen, John Hopkins University
Monday Mar 27, 2017 15:56 - 16:20
Brain region-specific DNA methylation and chromatin accessibility
Brunilda Balliu, Stanford University
Monday Mar 27, 2017 16:22 - 16:52
Longitudinal study of gene expression in a Swedish population sample
Yoav Gilad, University of Chicago
Monday Mar 27, 2017 16:54 - 17:21
Impact of regulatory variation across human iPSCs and differentiated cells
Tim Hughes, University of Toronto
Monday Mar 27, 2017 17:21 - 17:46
Investigating the source and function of most of the genome: endogenous retroelements and the proteins that bind them
Christina Curtis, Stanford University
Tuesday Mar 28, 2017 09:59 - 10:30
Delineating the mode and tempo of human tumor evolution
Nelle Varoquaux, UC Berkeley
Tuesday Mar 28, 2017 10:50 - 11:17
Studying the 3D structure of the P falciparum's genome by modeling contact counts as random Negative Binomial variables
Ben Raphael, Princeton University
Tuesday Mar 28, 2017 11:18 - 11:45
Algorithms for Inferring Evolution and Migration of Tumors
Jean-Philippe Vert, MINES ParisTech
Tuesday Mar 28, 2017 13:30 - 13:56
Cancer stratification from mutation profiles
Yang Li, Stanford
Tuesday Mar 28, 2017 13:57 - 14:23
The links between DNA variation and complex traits
Yves Moreau, KU Leuven
Tuesday Mar 28, 2017 14:25 - 14:52
Bayesian matrix factorization with side information and application to drug-target activity prediction and gene prioritization
Anna Bonnet, Université Lyon 1
Tuesday Mar 28, 2017 15:38 - 16:00
Heritability estimation in high-dimensional sparse linear mixed models
Manolis Kellis, Massachusetts Institute of Technology and Broad Institute
Tuesday Mar 28, 2017 16:28 - 16:55
Mediation analysis, multi-tissue factor QTLs, EHRs, transfer learning in deep CNNs for genetics
Athma Pai, Massachusetts Institute of Technology
Tuesday Mar 28, 2017 16:56 - 18:05
The major determinants of genome-wide splicing efficiency in flies
Sara Sheehan, Smith College
Wednesday Mar 29, 2017 09:02 - 09:30
Towards automated population genetic inference using deep neural networks
Anshul Kundaje, Stanford University
Wednesday Mar 29, 2017 09:30 - 09:58
Deep learning approaches to denoise, impute, integrate and decode functional genomic data
David Knowles, Stanford University
Wednesday Mar 29, 2017 10:00 - 10:33
Learning a mapping from pre-mRNA sequence to splice site usage to understand RNA splicing variation
David Kelley, Calico Labs
Wednesday Mar 29, 2017 10:34 - 11:08
Sequential regulatory activity prediction with long-range convolutional neural networks
Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
Thursday Mar 30, 2017 09:26 - 09:47
Data science as a science
Christoher Brown, University of Pennsylvania
Thursday Mar 30, 2017 09:48 - 10:07
Statistical and experimental methods for causal inference at complex trait associated loci
Ben Langmead, John Hopkins University
Thursday Mar 30, 2017 10:37 - 11:03
Summarizing tens of thousands of RNA-seq samples: themes and lessons
Shannon Ellis, Johns Hopkins
Thursday Mar 30, 2017 11:05 - 11:34
In silico phenotyping to improve the usefulness of public data
Ronglai Shen, Memorial Sloan-Kettering Cancer Center
Thursday Mar 30, 2017 13:36 - 14:02
Integrating omics data for cancer classification and prognosis
Josh Stuart, UCSC
Thursday Mar 30, 2017 14:02 - 14:24
Unmasking all forms of cancer: toward integrated maps of all tumor subtypes
Natasa Przulj, University College London
Thursday Mar 30, 2017 14:25 - 14:46
Predictive Integration of Networked Big Data
Benjamin Haibe Kains, University Health Network
Thursday Mar 30, 2017 14:47 - 15:12
Integrative cancer pharmacogenomics to infer large-scale drug taxonomy
Barbara Engelhardt, Princeton University
Thursday Mar 30, 2017 15:33 - 15:59
Intersecting pathology images and gene expression data to understand drivers of complex phenotypes
James Taylor, Johns Hopkins University
Thursday Mar 30, 2017 16:00 - 16:24
Chromosome Conformation in Context
Hae Kyung Im, University of Chicago
Thursday Mar 30, 2017 16:25 - 16:55
Propagating consequences of molecular mechanisms into complex phenotypes
