Abstract
A response to 'Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data' by Rapaport F, Khanin R, Liang Y, Pirun M, Krek A, Zumbo P, Mason CE, Socci ND and Betel D in Genome Biology, 2013, 14:R95.
Zhou, Xiaobei; Robinson, Mark D (2015). Do count-based differential expression methods perform poorly when genes are expressed in only one condition? Genome Biology, 16(222):online.
A response to 'Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data' by Rapaport F, Khanin R, Liang Y, Pirun M, Krek A, Zumbo P, Mason CE, Socci ND and Betel D in Genome Biology, 2013, 14:R95.
A response to 'Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data' by Rapaport F, Khanin R, Liang Y, Pirun M, Krek A, Zumbo P, Mason CE, Socci ND and Betel D in Genome Biology, 2013, 14:R95.
Item Type: | Journal Article, refereed, original work |
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Communities & Collections: | 07 Faculty of Science > Institute of Molecular Life Sciences |
Dewey Decimal Classification: | 570 Life sciences; biology |
Scopus Subject Areas: | Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Genetics Life Sciences > Cell Biology |
Language: | English |
Date: | 8 October 2015 |
Deposited On: | 18 Dec 2015 12:59 |
Last Modified: | 26 Jan 2022 07:30 |
Publisher: | BioMed Central |
ISSN: | 1465-6906 |
OA Status: | Gold |
Free access at: | PubMed ID. An embargo period may apply. |
Publisher DOI: | https://doi.org/10.1186/s13059-015-0781-3 |
PubMed ID: | 26450178 |
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