Choice of library size normalization and statistical methods for differential gene expression analysis in balanced two-group comparisons for RNA-seq studies

Choice of library size normalization and statistical methods for differential gene expression analysis in balanced two-group comparisons for RNA-seq studies

Abstract Background High-throughput RNA sequencing (RNA-seq) has evolved as an important analytical tool in molecular biology. Although the utility and importance of this technique have grown, uncertainties regarding the proper analysis of RNA-seq data remain. Of primary concern, there is no consens...

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Bibliographic Details
Main Authors: Xiaohong Li, Nigel G. F. Cooper, Timothy E. O’Toole, Eric C. Rouchka
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Genomics
Subjects:
RNA-seq
Sample sizes
Normalization
Statistical test
Differentially expressed genes
Online Access:https://doi.org/10.1186/s12864-020-6502-7

Internet

https://doi.org/10.1186/s12864-020-6502-7

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