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...
Main Authors: | Federico Marini, Harald Binder |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2879-1 |
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