Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

Independent component analysis (ICA) is a matrix factorization approach where the signals captured by each individual matrix factors are optimized to become as mutually independent as possible. Initially suggested for solving source blind separation problems in various fields, ICA was shown to be su...

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Detalhes bibliográficos
Publicado no:Int J Mol Sci
Main Authors: Sompairac, Nicolas, Nazarov, Petr V., Czerwinska, Urszula, Cantini, Laura, Biton, Anne, Molkenov, Askhat, Zhumadilov, Zhaxybay, Barillot, Emmanuel, Radvanyi, Francois, Gorban, Alexander, Kairov, Ulykbek, Zinovyev, Andrei
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2019
Assuntos:
Review
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6771121/
https://ncbi.nlm.nih.gov/pubmed/31500324
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms20184414
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