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

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 purpose,...

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Vydáno v:BMC Bioinformatics
Hlavní autoři: Marini, Federico, Binder, Harald
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6567655/
https://ncbi.nlm.nih.gov/pubmed/31195976
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2879-1
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