Captier, NicolasMerlevede, JaneMolkenov, AskhatSeisenova, AinurZhubanchaliyev, AltynbekNazarov, Petr VBarillot, EmmanuelKairov, UlykbekZinovyev, Andrei2023-03-292023-03-292022Captier, 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/btac204http://nur.nu.edu.kz/handle/123456789/6997We 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.enAttribution-NonCommercial-ShareAlike 3.0 United StatesType of access: Open AccessBIODICAIndependent Component AnalysisArticle