GNN4DM: a graph neural network-based method to identify overlapping functional disease modules

Source code, all training data, and all identified disease modules are freely available for download at https://github.com/gezsi/gnn4dm. GNN4DM was implemented in Python.

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2024-09-23
DOI
https://doi.org/10.1093/bioinformatics/btae573
Citations
7
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GNN4DM: a graph neural network-based method to identify overlapping functional disease modules

Péter Antal, András Gézsi
7 citations
Bioinformatics
Bioinformatics and Genomic Networks
1.64
article

GNN4DM: a graph neural network-based method to identify overlapping functional disease modules

Péter Antal, András Gézsi
article en
7 citations

Abstract

Source code, all training data, and all identified disease modules are freely available for download at https://github.com/gezsi/gnn4dm. GNN4DM was implemented in Python.

BioinformaticsVol. 40(10)
Budapest University of Technology and Economics (HU)
EU Joint Programme – Neurodegenerative Disease Research, European Commission, Hungarian Scientific Research Fund, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, National Research, Development and Innovation Office
Openalex Percentile: Top 16%
Bioinformatics and Genomic Networks
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.