BIODICA: a computational environment for Independent Component Analysis of omics data

Nicolas Captier*, Jane Merlevede, Askhat Molkenov, Ainur Seisenova, Altynbek Zhubanchaliyev, Petr V. Nazarov, Emmanuel Barillot, Ulykbek Kairov, Andrei Zinovyev

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)2963-2964
Number of pages2
JournalBioinformatics
Volume38
Issue number10
Early online date6 Apr 2022
DOIs
Publication statusPublished - 15 May 2022

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