Frederick, MD
Core Facility
The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...
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Bioinformatics
Principal component analysis (PCA) is an exploratory linear dimension reduction method applied to highly dimensional (multivariate) data. It is an usupervised learning technique that treats all variables equally. The goal of PCA is to reduce Read More...
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Bioinformatics
There are many packages and functions available in R programming for performing PCA. Some of the most popular functions are stats::prcomp(), stats::princomp(), FactoMineR::PCA(), and ade4::dudi.pca(). These functions largely differ in Read More...