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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Bibliographic Details
Published in: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
Format: Artigo
Language:Inglês
Published: MDPI 2019
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Review
Online Access: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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