paper

Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data

arXiv:2006.15077

Abstract

This paper discusses an approach, based on the subsampling boostrap and FDR control, to improve the stability of feature selection. It furthermore presents the finite sample distribution of the correlation coefficient recently proposed by Chatterjee (2020) under the setting relevant for this paper. Finally an application to matrix-assisted laser desorption/ionization (MALDI) imaging mass spectroscopy data is discussed.

Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data · wovepaper