Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data

The large p small n problem is a challenge without a de facto standard method available to it. In this study, we propose a tensor-decomposition (TD)-based unsupervised feature extraction (FE) formalism applied to multiomics datasets, in which the number of features is more than 100,000 whereas the n...

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Detalles Bibliográficos
Autores principales: Taguchi, Y-h., Turki, Turki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763286/
https://www.ncbi.nlm.nih.gov/pubmed/33322492
http://dx.doi.org/10.3390/genes11121493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763286/
https://www.ncbi.nlm.nih.gov/pubmed/33322492
http://dx.doi.org/10.3390/genes11121493

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