Sparse PCA and biomarkers: understanding more, assuming less
Which variables should you actually interpret in a statistical model?
In this article, we explain how Sparse PCA (SPCA) — and a new corrected version — can help you identify key variables, such as biomarkers, without losing interpretability. A practical approach from biostatistics for projects with lots of data and little certainty.
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