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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771121/
https://www.ncbi.nlm.nih.gov/pubmed/31500324
http://dx.doi.org/10.3390/ijms20184414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771121/
https://www.ncbi.nlm.nih.gov/pubmed/31500324
http://dx.doi.org/10.3390/ijms20184414

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