ロード中...

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...

詳細記述

保存先:
書誌詳細
出版年:Genes (Basel)
主要な著者: Taguchi, Y-h., Turki, Turki
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2020
主題:
オンライン・アクセス: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
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!