Multi-Omic Graph Diagnosis (MOGDx): a data integration tool to perform classification tasks for heterogeneous diseases

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Publication Details

Journal
Bioinformatics
Published
2024-08-20
DOI
https://doi.org/10.1093/bioinformatics/btae523
Citations
12
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
2.81

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article

Multi-Omic Graph Diagnosis (MOGDx): a data integration tool to perform classification tasks for heterogeneous diseases

Riccardo E. Marioni, Barry Ryan, T. Ian Simpson
12 citations
Bioinformatics
Bioinformatics and Genomic Networks
2.81
article

Multi-Omic Graph Diagnosis (MOGDx): a data integration tool to perform classification tasks for heterogeneous diseases

Riccardo E. Marioni, Barry Ryan, T. Ian Simpson
article en
12 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(9)
Edinburgh Cancer Research (GB), University of Edinburgh (GB)
UK Research and Innovation
Openalex Percentile: Top 9%
Bioinformatics and Genomic Networks
2.81
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Multi-Omic Graph Diagnosis (MOGDx): a data integration tool to perform classification tasks for heterogeneous diseases — Riccardo E. Marioni, Barry Ryan, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS