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Tensor decomposition- and principal component analysis-based unsupervised feature extraction to select more reasonable differentially expressed genes: Optimization of standard deviation versus state-of-art methods

2022-02-22

Abstract excerpt

<h4>Background</h4> Tensor decomposition- and principal component analysis-based unsupervised feature extraction were proposed almost 5 and 10 years ago, respectively; although these methods have been successfully applied to a wide range of genome analyses, including drug repositioning, biomarker identification, and disease-causing genes’ identification, some fundamental problems have been identified: the number...

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Literature Corpus work: 9f710920-0ef0-54d0-9cc9-246aa781ad7b
DOI: 10.1101/2022.02.18.481115

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