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EssSubgraph improves performance and generalizability of mammalian essential gene prediction with large networks

GigaScience(2025)10.1093/gigascience/giaf136Source: DataRank Database

EssSubgraph improves performance and generalizability of mammalian essential gene prediction with large networks is a research paper published in GigaScience (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (2 grants)OA: goldTopics (29)IDs (PubMed, PMC)Annotations (1)

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Authors (6)

Susan Carpenter ORCID,Karen McGinnis ORCID,Andrew D. L. Nelson ORCID,Keriayn N. Smith ORCID,Tian Hong ORCID

Live enrichment

PubMed:41134033 PMC:PMC12690466

National Science Foundation

Grant: 2243562

Ideas Lab: Collaborative Research: Integrating cross-kingdom lncRNA genetic and functional interactions to build predictive network models

National Institutes of Health

Grant: R35GM149531

goldLicense: https://www.biorxiv.org/about/FAQ#license

publisherhttps://academic.oup.com/gigascience/advance-article-pdf/doi/10.1093/gigascience/giaf136/64923428/giaf136.pdf

publisherhttps://academic.oup.com/gigascience/article-pdf/doi/10.1093/gigascience/giaf136/64923428/giaf136.pdf

Europe_PMChttps://europepmc.org/articles/PMC12690466

Europe_PMChttps://europepmc.org/articles/PMC12690466?pdf=render

https://doi.org/10.1101/2025.07.21.665218

Fields of Study

0206 medical engineering02 engineering and technology

MeSH Terms

AnimalsMammalsHumansComputational BiologyGenes, EssentialAlgorithmsSoftwareGene Regulatory NetworksMachine LearningNeural Networks, Computer

Keywords

CrisprGene Function PredictionGene Regulatory NetworkGraph Neural NetworkSubgraphMammalsGenes, EssentialResearchComputational BiologyArticleMachine LearningHumansAnimalsGene Regulatory NetworksNeural Networks, ComputerSoftwareAlgorithms

EssSubgraph improves performance and generalizability of mammalian essential gene prediction with large networks

FAIR Checklist

Authors (6)

Funding (2 grants)

Open Access

Topics

Annotations (Europe PMC)