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This paper discusses an approach, based on the subsampling boostrap and FDRcontrol, to improve the stability of feature selection. It furthermore presentsthe finite sample distribution of the correlation coefficient recently proposedby Chatterjee (2020) under the setting relevant for this paper. Finally anapplication to matrix-assisted laser desorption/ionization (MALDI) imaging massspectroscopy data is discussed.

Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data