Uncovering latent biological function associations through gene set embeddings

This integrative framework reveals both expected and novel biological insights, offering a comprehensive perspective that complements traditional biological network analysis and paves the way for deeper understanding of complex biological processes and diseases.

Authors

Fan Zhong (ORCID: https://orcid.org/0000-0002-5127-6707)
Lei Liu (ORCID: https://orcid.org/0000-0002-9995-9080)
Yuhang Huang

Institutions

Fudan University (CN)

Publication Details

Journal: BMC Bioinformatics
Published: 2025-03-24
DOI: https://doi.org/10.1186/s12859-025-06100-9
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 0.00

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article

Uncovering latent biological function associations through gene set embeddings

Fan Zhong, Lei Liu, Yuhang Huang

Mar 24, 2025

BMC Bioinformatics

Bioinformatics and Genomic Networks

article

Uncovering latent biological function associations through gene set embeddings

Fan Zhong, Lei Liu, Yuhang Huang

March 24, 2025article en

Abstract

BMC BioinformaticsVol. 26(1)

Fudan University (CN)

Openalex Percentile: Top 95%

Bioinformatics and Genomic Networks

DOI Open Access PDF OpenAlex

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Uncovering latent biological function associations through gene set embeddings — Fan Zhong, Lei Liu, et al. · BMC Bioinformatics (2025) | TGRS Research Map | TGRS