Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data

Jonathan von Schroeder

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arXiv · 2006.15077

Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data

Jonathan von Schroeder

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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.

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Jonathan von Schroeder. 2020-06-26. Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data. https://arxiv.org/abs/2006.15077

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