Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis
Analysis of single-cell multiomics datasets is a novel topic and is considerably challenging because such datasets contain a large number of features with numerous missing values. In this study, we implemented a recently proposed tensor-decomposition (TD)-based unsupervised feature extraction (FE) t...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Genes |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4425/12/9/1442 |