Variable Selection with Knockoffs

An embedded gene selection method using knockoffs optimizing neural network, BMC Bioinformatics

Emmanuel Candès: “The Knockoffs Framework: New Statistical Tools for Replicable Selections”

ROC performance of combined, morphological, and texturefeatures with

Variable Selection with the Knockoffs: Composite Null Hypotheses

PDF] Adjusting the Benjamini-Hochberg method for controlling the false discovery rate in knockoff assisted variable selection

Stability of feature selection algorithm: A review - ScienceDirect

ROC performance of combined, morphological, and texturefeatures with

IPI PAN ZBO

Model-X Knockoffs: Using Machine Learning for Controlled High-Dimensional Variable Selection - TIB AV-Portal

hypothesis-testing · GitHub Topics · GitHub

2022 – 2023 Acad. Year UCLA Statistics & Data Science

The Methodology of Knockoffs - Outline

High dimensional controlled variable selection with model-X knockoffs in the AFT model

Classification performance for different values of FDR with(top)