Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis

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...

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Bibliographic Details
Main Authors: Y-h. Taguchi, Turki Turki
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Genes
Subjects:
tensor decomposition
feature extraction
single-cell
multiomics data
Online Access:https://www.mdpi.com/2073-4425/12/9/1442

Internet

https://www.mdpi.com/2073-4425/12/9/1442

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