Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data

Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data

Abstract Background RNA-seq is a tool for measuring gene expression and is commonly used to identify differentially expressed genes (DEGs). Gene clustering is used to classify DEGs with similar expression patterns for the subsequent analyses of data from experiments such as time-courses or multi-gro...

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Bibliographic Details
Main Authors: Takayuki Osabe, Kentaro Shimizu, Koji Kadota
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Bioinformatics
Subjects:
RNA-seq
Differential expression
Gene clustering
Posterior probability
Online Access:https://doi.org/10.1186/s12859-021-04438-4

Internet

https://doi.org/10.1186/s12859-021-04438-4

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