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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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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
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| 主題: | |
| オンライン･アクセス: | 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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