DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction

Authors

Le Zhang (ORCID: https://orcid.org/0000-0002-3708-1727)
Bing Li (ORCID: https://orcid.org/0000-0001-6909-4752)
Chao Zhang (ORCID: https://orcid.org/0000-0003-4039-7164)
Ming Xiao (ORCID: https://orcid.org/0000-0001-8608-5903)
Xin Xiao

Institutions

Sichuan University (CN)
Chengdu University of Information Technology (CN)
West China Medical Center of Sichuan University (CN)
West China Hospital of Sichuan University (CN)
Chengdu University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-06-28
DOI: https://doi.org/10.1093/bioinformatics/btaf379
Citations: 6
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 4.84

Funders

National Natural Science Foundation of China
China Postdoctoral Science Foundation
Sichuan University
National Science and Technology Major Project
West China Hospital, Sichuan University

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction

Le Zhang, Bing Li, Chao Zhang, Ming Xiao et al.

Jun 28, 2025

6 citations

Bioinformatics

Bioinformatics and Genomic Networks

4.84

article

DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction

Le Zhang, Bing Li, Chao Zhang, Ming Xiao, Xin Xiao

June 28, 2025article en

6 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(7)

Sichuan University (CN), Chengdu University of Information Technology (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN), Chengdu University (CN)

National Natural Science Foundation of China, China Postdoctoral Science Foundation, Sichuan University, National Science and Technology Major Project, West China Hospital, Sichuan University

Openalex Percentile: Top 5%

Bioinformatics and Genomic Networks

4.84

DOI Open Access PDF OpenAlex

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.