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

doi:10.1093/bioinformatics/btac204

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

Institut National de la Santé et de la Recherche Médicale (INSERM)
Nazarbayev University
Luxembourg Institute of Health

Результат исследований › рецензирование

9 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	English
Страницы (с-по)	2963-2964
Число страниц	2
Журнал	Bioinformatics
Том	38
Номер выпуска	10
Ранняя дата в режиме онлайн	апр. 6 2022
DOI	https://doi.org/10.1093/bioinformatics/btac204
Состояние	Published - мая 15 2022

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10.1093/bioinformatics/btac204

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AU - Nazarov, Petr V

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