Article

Principal component analysis of RNA-seq data unveils a novel prostate cancer-associated gene expression signature

2020-10-26

Abstract excerpt

Prostate cancer (Pca) is a highly heterogeneous disease and the second more common tumor in males. Molecular and genetic profiles have been used to identify subtypes and guide therapeutic intervention. However, roughly 26% of primary Pca are driven by unknown molecular lesions. We use Principal Component Analysis (PCA) and custom RNAseq-data normalization to identify a gene expression signature which segregates pr...

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Literature Corpus work: acda0ef0-aeaf-547c-894e-e302e0a20c0f
DOI: 10.1101/2020.10.26.355750

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