Can someone please give me some suggestions on which feature selection techniques for gene classification should I use?
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This may be too broad and opinion-based for StackOverflow. – personjerry Apr 03 '20 at 22:50
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The major problem to work with gene expression data, with a large number of dimensions and small sample size. Instead of standard feature extraction/selection algorithms, generally, kernel-based feature selection algorithms are applied to gene expression data such as KBMTL(kernelized Bayesian multitask learning), NDR(nonlinear dimensionality reduction) or regularized linear methods such as LASSO and Elastic-net.
You can check these papers to learn more about how to make efficient feature selection on gene expression data.
Batuhan B
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