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

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dc.contributor.authorCaptier, Nicolas
dc.contributor.authorMerlevede, Jane
dc.contributor.authorMolkenov, Askhat
dc.contributor.authorSeisenova, Ainur
dc.contributor.authorZhubanchaliyev, Altynbek
dc.contributor.authorNazarov, Petr V
dc.contributor.authorBarillot, Emmanuel
dc.contributor.authorKairov, Ulykbek
dc.contributor.authorZinovyev, Andrei
dc.date.accessioned2023-03-29T05:48:36Z
dc.date.available2023-03-29T05:48:36Z
dc.date.issued2022
dc.description.abstractWe 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.identifier.citationCaptier, 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/btac204en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6997
dc.language.isoenen_US
dc.publisherBioinformaticsen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectBIODICAen_US
dc.subjectIndependent Component Analysisen_US
dc.titleBIODICA: A COMPUTATIONAL ENVIRONMENT FOR INDEPENDENT COMPONENT ANALYSIS OF OMICS DATAen_US
dc.typeArticleen_US
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