Sample size calculation based on generalized linear models for differential expression analysis in RNA-seq data

DOI10.1515/SAGMB-2016-0008zbMath1360.92009OpenAlexW2554740200WikidataQ31143436 ScholiaQ31143436MaRDI QIDQ523926

Chung-I Li, Yu Shyr

Publication date: 25 April 2017

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-2016-0008

zbMATH Keywords

generalized linear modelsRNA-seqsample size calculation

Mathematics Subject Classification ID

General biostatistics (92B15) Biochemistry, molecular biology (92C40)

Uses Software

• Bioconductor
• SAS
• DEGseq
• DEseq
• PROPER
• Scotty
• GENE-counter

Cites Work

• Unnamed Item
• Noncentral convergence of Wald's large-sample test statistic in exponential families
• Small-sample estimation of negative binomial dispersion, with applications to SAGE data
• A Direct Approach to False Discovery Rates
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large

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