Multiomics data analysis using tensor decomposition based unsupervised feature extraction --Comparison with DIABLO--
Abstract
null Multiomics data analysis is the central issue of genomics science. In spite of that, there are not well defined methods that can integrate multomics data sets, which are formatted as matrices with different sizes. In this paper, I propose the usage of tensor decomposition based unsupervised feature extraction as a data mining tool for multiomics data set. It can successfully integrate miRNA expression, mRNA expression and proteome, which...
Paper Details
Title
Multiomics data analysis using tensor decomposition based unsupervised feature extraction --Comparison with DIABLO--
Published Date
Mar 28, 2019
Journal
Pages
591867
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