Overcoming confounding plate effects in differential expression analyses of single-cell RNA-seq data-Reference-Cited by-同舟云学术

Overcoming confounding plate effects in differential expression analyses of single-cell RNA-seq data

Published:2017-02-06 Issue:3 Volume:18 Page:451-464
ISSN:1465-4644
Container-title:Biostatistics
language:en
Short-container-title:

Author:

Lun Aaron T. L.¹,Marioni John C.²³

Affiliation:

1. Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, RobinsonWay, Cambridge CB2 0RE, UK aaron.lun@cruk.cam.ac.uk

2. Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK

3. EMBL European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK and Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK marioni@ebi.ac.uk

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://academic.oup.com/biostatistics/article-pdf/18/3/451/24331771/kxw055.pdf

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4. On the widespread and critical impact of systematic bias and batch effects in single-cell RNA-Seq data.;Hicks,2015

5. Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types.;Jaitin;Science,2014

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