Title	Combining heterogeneous genomics data to understand complex human traits.
Creator	Mostavafi, Sara
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-11-08T15:34
Description	Recent availability of large-scale multi-omics datasets from human cohort studies present new opportunities for deriving molecular mechanisms for complex disease. However, a central challenge in using these genomics data to understand complex traits is to disentangle causal, and hence reproducible and meaningful associations, from merely correlated ones. In this talk, Iâ ll describe ongoing projects that develop new statistical and computational methods for integrative analysis of multi-omics data, with the ultimate goal of providing insights into complex human diseases including major depression.
Extent	24.0
Subject	Mathematics; Statistics; Computer science
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of British Columbia
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-05-08
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0378635
URI	http://hdl.handle.net/2429/70107
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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