Article ; Online: MAINE: a web tool for multi-omics feature selection and rule-based data exploration.
Bioinformatics (Oxford, England)
2021 Volume 38, Issue 6, Page(s) 1773–1775
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. ... ...
| 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. |
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| MeSH term(s) | Humans ; Multiomics ; Maine ; Software | |||||
| Language | English | |||||
| Publishing date | 2021-12-23 | |||||
| Publishing country | England | |||||
| Document type | Journal Article ; Research Support, Non-U.S. Gov't | |||||
| ZDB-ID | 1422668-6 | |||||
| ISSN | 1367-4811 ; 1367-4803 | |||||
| ISSN (online) | 1367-4811 | |||||
| ISSN | 1367-4803 | |||||
| DOI | 10.1093/bioinformatics/btab862 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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