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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Detalles Bibliográficos
Autores principales: Taguchi, Y-h., Turki, Turki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468466/
https://www.ncbi.nlm.nih.gov/pubmed/34573424
http://dx.doi.org/10.3390/genes12091442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468466/
https://www.ncbi.nlm.nih.gov/pubmed/34573424
http://dx.doi.org/10.3390/genes12091442

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