Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling

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Publication Details

Journal
Bioinformatics
Published
2026-02-25
DOI
https://doi.org/10.1093/bioinformatics/btag101
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling

Kiwamu Arakane, Okada Mariko, M Tsutsui
Bioinformatics
Gene Regulatory Network Analysis
article

Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling

Kiwamu Arakane, Okada Mariko, M Tsutsui
article en

Abstract

No abstract available for this paper.
Bioinformatics
Protein Research Foundation (JP), Imperial College London (GB), Osaka University of Pharmaceutical Sciences (JP)
Openalex Percentile: Top 41%
Gene Regulatory Network Analysis
DOIOpen Access PDFOpenAlex
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