<p>edgeR: differential analysis of sequence read count data</p>

Yunshun Chen; Yunshun Chen

doi:10.7490/f1000research.1118837.1

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Chen Y and Chen Y. edgeR: differential analysis of sequence read count data [version 1; not peer reviewed]. F1000Research 2021, 10:1131 (slides) (https://doi.org/10.7490/f1000research.1118837.1)

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edgeR: differential analysis of sequence read count data

Yunshun Chen¹, Yunshun Chen

Published 09 Nov 2021 (https://doi.org/10.7490/f1000research.1118837.1)

Author Affiliations

¹ Walter and Eliza Hall Institute of Medical Research, Australia

Copyright © 2021 Chen Y and Chen Y. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 09 Nov 2021

edgeR: differential analysis of sequence read count data
[version 1; not peer reviewed]

Yunshun Chen¹, Yunshun Chen

Author Affiliations

¹ Walter and Eliza Hall Institute of Medical Research, Australia

Presented at

BioC Asia, 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

edgeR, RNA-seq, Bioconductor, differential expression, statistical analysis, generalized linear model

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