Variable Selection with Knockoffs
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Updated
Nov 2, 2024 - Julia
Variable Selection with Knockoffs
A Python implementation of the "Controlling the False Discovery Rate via Knockoffs" paper from 2015, designed to provide tools for generating knockoff features and applying controlled variable selection techniques in high-dimensional data settings.
Calibrated clustering with artificial variables to avoid over-clustering in single-cell RNA-sequencing
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