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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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Bibliografiske detaljer
Udgivet i:Genes (Basel)
Main Authors: Taguchi, Y-h., Turki, Turki
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7763286/
https://ncbi.nlm.nih.gov/pubmed/33322492
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes11121493
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