pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

Abstract Background Principal component analysis (PCA) is frequently used in genomics applications for quality assessment and exploratory analysis in high-dimensional data, such as RNA sequencing (RNA-seq) gene expression assays. Despite the availability of many software packages developed for this...

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Bibliographic Details
Main Authors: Federico Marini, Harald Binder
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Exploratory data analysis
Principal component analysis
RNA-Seq
Shiny
User-friendly
Reproducible research
Online Access:http://link.springer.com/article/10.1186/s12859-019-2879-1

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http://link.springer.com/article/10.1186/s12859-019-2879-1

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