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Gerst et al., 2018 - Google Patents

PCAGO: An interactive tool to analyze RNA-Seq data with principal component analysis

Gerst et al., 2018

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Document ID
1408641328211172950
Author
Gerst R
Hölzer M
Publication year
Publication venue
BioRxiv

External Links

Snippet

The initial characterization and clustering of biological samples is a critical step in the analysis of any transcriptomics study. In many studies, principal component analysis (PCA) is the clustering algorithm of choice to predict the relationship of samples or cells based …
Continue reading at www.biorxiv.org (PDF) (other versions)

Classifications

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