Title	scNMT-seq: multivariate integrative analyses
Creator	Abadi, Al
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2020-06-17T07:00
Description	Dr. Al J Abadi is a Research Fellow and software developer in Computational Genomics in the lab of Prof Kim-Anh LÃª Cao at the University of Melbourne, Australia (https://lecao-lab.science.unimelb.edu.au/) He addressed the challenges of i) Identification of multi-omics signatures that characterize lineage, stage or both: We applied a regularised partial least square analysis which can find key markers which characterize the coordinated lineage and stage-specific changes in different modalities ii) Dealing with missing values: In integrative analyses, we applied an iterative algorithm which can handle missing values without potentially inducing spurious correlations in the datasets while allowing for select for variables that are correlated across data modalities and characterize the stage and/or lineage of the cells Code: https://github.com/ajabadi/scNMT_seq_gastrulation
Extent	21.0 minutes
Subject	Mathematics; Statistics; Biology and other natural sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: The University of Melbourne
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2020-12-15
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0395301
URI	http://hdl.handle.net/2429/76802
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Other
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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scNMT-seq: multivariate integrative analyses Abadi, Al

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