Modifying SAMseq to account for asymmetry in the distribution of effect sizes when identifying differentially expressed genes

DOI10.1515/sagmb-2016-0037zbMath1396.92023OpenAlexW2767071618WikidataQ47703910 ScholiaQ47703910MaRDI QIDQ1670284

Megan Orr, Ekua Kotoka

Publication date: 5 September 2018

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2016-0037

zbMATH Keywords

false discovery rateRNA-seqdifferentially expressed genesSAMseq

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Uses Software

• Bioconductor
• edgeR
• recount
• DESeq2

Cites Work

• Unnamed Item
• The NBP negative binomial model for assessing differential gene expression from RNA-Seq
• Significance analysis of microarrays applied to the ionizing radiation response
• A Direct Approach to False Discovery Rates
• Statistical significance for genomewide studies

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