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

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-group compar...

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Veröffentlicht in:	BMC bioinformatics Jg. 22; H. 1; S. 1 - 20
Hauptverfasser:	Osabe, Takayuki, Shimizu, Kentaro, Kadota, Koji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 20.10.2021 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Analysis Bioinformatics Biomedical and Life Sciences Clustering Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data analysis Differential expression Gene clustering Gene expression Genes Genetic engineering Life Sciences Methods Microarrays Posterior probability R (Programming language) Research Article Ribonucleic acid RNA RNA sequencing RNA-seq Stability analysis Japan RNA-seq Posterior probability Differential expression Gene clustering
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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