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Просмотр 02.National Laboratory Astana по автору "e16295bb-d57b-4013-a936-e22442cc8605"

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Просмотр 02.National Laboratory Astana по автору "e16295bb-d57b-4013-a936-e22442cc8605"

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  • Assessing reproducibility of matrix factorization methods in independent transcriptomes 
    Cantini, Laura; Kairov, Ulykbek; de Reynies, Aurelien; Barillot, Emmanuel; Radvanyi, Francois; Zinovyev, Andrei (OXFORD UNIV PRESS, 2019)
    Motivation Matrix factorization (MF) methods are widely used in order to reduce dimensionality of transcriptomic datasets to the action of few hidden factors (metagenes). MF algorithms have never been compared based on ...
  • Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets 
    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 (MDPI, 2019-09-02)
    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 ...