Title	Overcoming bias and batch effects in RNAseq data
Creator	Irizarry, Rafael
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2015-08-03T10:43
Description	In this talk I will demonstrate the presence of bias, systematic error and unwanted variability in next generation sequencing. I will show the substantial downstream effects these have on downstream results and how they can lead to misleading biological conclusions. I will do this using data from the public repositories as well as our own. We will then describe some preliminary solutions to these problems.
Extent	37 minutes
Subject	Mathematics; Statistics; Biology and other natural sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Dana-Farber
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-04-18
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0229553
URI	http://hdl.handle.net/2429/57646
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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