Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods

标题
Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods
作者
关键词
-
出版物
GENOMICS
Volume 115, Issue 2, Pages 110577
出版商
Elsevier BV
发表日期
2023-02-16
DOI
10.1016/j.ygeno.2023.110577

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