MAINE: a web tool for multi-omics feature selection and rule-based data exploration

Abstract Summary Patient multi-omics datasets are often characterized by a high dimensionality; however, usually only a small fraction of the features is informative, that is change in their value is directly related to the disease outcome or patient survival. In medical sciences, in addition to a r...

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Bibliographic Details
Published in:Bioinformatics 2022-03, Vol.38 (6), p.1773-1775
Main Authors: Gruca, Aleksandra, Henzel, Joanna, Kostorz, Iwona, Stęclik, Tomasz, Wróbel, Łukasz, Sikora, Marek
Format: Article
Language:English
Subjects:
Applications Notes
Humans
Maine
Multiomics
Software
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Summary:Abstract Summary Patient multi-omics datasets are often characterized by a high dimensionality; however, usually only a small fraction of the features is informative, that is change in their value is directly related to the disease outcome or patient survival. In medical sciences, in addition to a robust feature selection procedure, the ability to discover human-readable patterns in the analyzed data is also desirable. To address this need, we created MAINE—Multi-omics Analysis and Exploration. The unique functionality of MAINE is the ability to discover multidimensional dependencies between the selected multi-omics features and event outcome prediction as well as patient survival probability. Learned patterns are visualized in the form of interpretable decision/survival trees and rules. Availability and implementation MAINE is freely available at maine.ibemag.pl as an online web application. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btab862