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BIODICA: A COMPUTATIONAL ENVIRONMENT FOR INDEPENDENT COMPONENT ANALYSIS OF OMICS DATA

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dc.contributor.author Captier, Nicolas
dc.contributor.author Merlevede, Jane
dc.contributor.author Molkenov, Askhat
dc.contributor.author Seisenova, Ainur
dc.contributor.author Zhubanchaliyev, Altynbek
dc.contributor.author Nazarov, Petr V
dc.contributor.author Barillot, Emmanuel
dc.contributor.author Kairov, Ulykbek
dc.contributor.author Zinovyev, Andrei
dc.date.accessioned 2023-03-29T05:48:36Z
dc.date.available 2023-03-29T05:48:36Z
dc.date.issued 2022
dc.identifier.citation Captier, N., Merlevede, J., Molkenov, A., Seisenova, A., Zhubanchaliyev, A., Nazarov, P. V., Barillot, E., Kairov, U., & Zinovyev, A. (2022). BIODICA: a computational environment for Independent Component Analysis of omics data. Bioinformatics, 38(10), 2963–2964. https://doi.org/10.1093/bioinformatics/btac204 en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/6997
dc.description.abstract We developed BIODICA, an integrated computational environment for application of independent component analysis (ICA) to bulk and single-cell molecular profiles, interpretation of the results in terms of biological functions and correlation with metadata. The computational core is the novel Python package stabilized-ica which provides interface to several ICA algorithms, a stabilization procedure, meta-analysis and component interpretation tools. BIODICA is equipped with a user-friendly graphical user interface, allowing non-experienced users to perform the ICA-based omics data analysis. The results are provided in interactive ways, thus facilitating communication with biology experts. en_US
dc.language.iso en en_US
dc.publisher Bioinformatics en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Open Access en_US
dc.subject BIODICA en_US
dc.subject Independent Component Analysis en_US
dc.title BIODICA: A COMPUTATIONAL ENVIRONMENT FOR INDEPENDENT COMPONENT ANALYSIS OF OMICS DATA en_US
dc.type Article en_US
workflow.import.source science


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