论文标题
稳定的特征选择，应用于MALDI成像质谱数据
Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data
论文作者
论文摘要
本文讨论了一种基于子采样Boostrap和FDR控制的方法，以提高特征选择的稳定性。此外，在与本文相关的设置下，Chatterjee（2020）最近提出的相关系数的有限样本分布。最后，讨论了用于基质辅助激光解吸/电离（MALDI）成像质谱数据的应用。
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.
