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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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>BIODICA is implemented in Java, Python and JavaScript. The source code is freely available on GitHub under the MIT and the GNU LGPL licenses. BIODICA is supported on all major operating systems. URL: https:\/\/sysbio-curie.github.io\/biodica-environment\/.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac204","type":"journal-article","created":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T13:42:00Z","timestamp":1649252520000},"page":"2963-2964","source":"Crossref","is-referenced-by-count":11,"title":["BIODICA: a computational environment for Independent Component Analysis of omics data"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2718-4412","authenticated-orcid":false,"given":"Nicolas","family":"Captier","sequence":"first","affiliation":[{"name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale (INSERM), U900 , F-75005 Paris, France"},{"name":"Institut Curie, PSL Research University , F-75005 Paris, France"},{"name":"MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology , F-75006 Paris, France"},{"name":"Laboratoire d\u2019Imagerie Translationnelle en 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