MIO: microRNA target analysis system for immuno-oncology.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
11 07 2022
11 07 2022
Historique:
received:
13
01
2022
revised:
25
04
2022
pubmed:
2
6
2022
medline:
15
11
2022
entrez:
1
6
2022
Statut:
ppublish
Résumé
MicroRNAs have been shown to be able to modulate the tumor microenvironment and the immune response and hence could be interesting biomarkers and therapeutic targets in immuno-oncology; however, dedicated analysis tools are missing. Here, we present a user-friendly web platform MIO and a Python toolkit miopy integrating various methods for visualization and analysis of provided or custom bulk microRNA and gene expression data. We include regularized regression and survival analysis and provide information of 40 microRNA target prediction tools as well as a collection of curated immune related gene and microRNA signatures and processed TCGA data including estimations of infiltrated immune cells and the immunophenoscore. The integration of several machine learning methods enables the selection of prognostic and predictive microRNAs and gene interaction network biomarkers. https://mio.icbi.at, https://github.com/icbi-lab/mio and https://github.com/icbi-lab/miopy. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 35642895
pii: 6596596
doi: 10.1093/bioinformatics/btac366
pmc: PMC9272810
doi:
Substances chimiques
MicroRNAs
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3665-3667Subventions
Organisme : Austrian Science Fund
ID : P34783
Organisme : National Bank of Austria
ID : 18279
Organisme : University of Valencia
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press.
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