Cargando…
Evaluation of methods for differential expression analysis on multi-group RNA-seq count data
BACKGROUND: RNA-seq is a powerful tool for measuring transcriptomes, especially for identifying differentially expressed genes or transcripts (DEGs) between sample groups. A number of methods have been developed for this task, and several evaluation studies have also been reported. However, those ev...
Autores principales: | Tang, Min, Sun, Jianqiang, Shimizu, Kentaro, Kadota, Koji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634584/ https://www.ncbi.nlm.nih.gov/pubmed/26538400 http://dx.doi.org/10.1186/s12859-015-0794-7 |
Ejemplares similares
-
Accurate Classification of Differential Expression Patterns in a
Bayesian Framework With Robust Normalization for Multi-Group RNA-Seq Count
Data
por: Osabe, Takayuki, et al.
Publicado: (2019) -
TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data
por: Su, Wei, et al.
Publicado: (2019) -
Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data
por: Osabe, Takayuki, et al.
Publicado: (2021) -
TCC: an R package for comparing tag count data with robust normalization strategies
por: Sun, Jianqiang, et al.
Publicado: (2013) -
Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results
por: Zhao, Shitao, et al.
Publicado: (2018)