Inferring gene regulatory networks by hypergraph generative model

Guangxin Su; H. Wang; Ying Zhang; Marc R. Wilkins; Pablo F. Cañete; Di Yu; Yang Yang; Wenjie Zhang

doi:10.1016/j.crmeth.2025.101026

ScienceGate Book Chapters

JOURNAL ARTICLE

Inferring gene regulatory networks by hypergraph generative model

Guangxin Su H. Wang Ying Zhang Marc R. Wilkins Pablo F. Cañete Di Yu Yang Yang Wenjie Zhang

Year: 2025 Journal: Cell Reports Methods Vol: 5 (4)Pages: 101026-101026 Publisher: Elsevier BV

DOI: 10.1016/j.crmeth.2025.101026

Get Full-Text PDF Get Analytical Report

Keywords:

Hypergraph Generative grammar Computational biology Generative model Gene regulatory network Computer science Gene Artificial intelligence Biology Genetics Mathematics Gene expression Combinatorics

Metrics

Cited By

10.73

FWCI (Field Weighted Citation Impact)

107

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Gene Regulatory Network Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Inferring gene regulatory networks by hypergraph generative model

Metrics

Citation History

Topics

Related Documents

Multi-objective Model Optimization for Inferring Gene Regulatory Networks

Evolving Additive Tree Model for Inferring Gene Regulatory Networks

Inferring gene regulatory networks by ANOVA

An Efficient Inductive Learning Model for Inferring Gene Regulatory Networks

Inferring slowly-changing dynamic gene-regulatory networks