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Deep-gKnock: nonlinear group-feature selection with deep neural network
Feature selection for high-dimensional data is of fundamental importance for different applications across various scientific disciplines. Grouping structure among features... -
Atlantic cod liver datasets
Two datasets from study of toxicant-treated Atlantic cod liver are used here. One is from the study of the hepatic proteome of MeHg-exposed Atlantic cod, and the other is from... -
Gene expression datasets
Gene expression datasets typically have thousands of features. We use the following five gene expression datasets for feature selections: GLI, Colon (COL), Myeloma (ELO), Breast... -
RADAR (Research Data Repository)
Imported
Experimental data for the paper ''an empirical evaluation of constrained feat...
Abstract: These are the experimental data for the paper Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" published at the journal SN Computer...