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Data-driven model discovery and model selection for noisy biological systems

PLoS Computational Biology(2025)10.1371/journal.pcbi.1012762Source: DataRank Database

Data-driven model discovery and model selection for noisy biological systems is a research paper published in PLoS Computational Biology (2025). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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Enrichment:Funding (3 grants)OA: goldTopics (10)IDs (PubMed, PMC)Annotations (1)

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Authors (3)

MeiLu McDermott ORCID,Adam L. MacLean ORCID,Xiaojun Wu ORCID

Live enrichment

PubMed:39836686 PMC:PMC11753677

National Institute of General Medical Sciences

Grant: R35-GM143019

Division of Mathematical Sciences

Grant: DMS 2045327

NIGMS NIH HHS

Grant: R35 GM143019

goldLicense: cc-by

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012762&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1012762

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11753677/pdf/pcbi.1012762.pdf

repositoryhttps://doaj.org/article/cd2754ab94f142429a92dec6e2fd42e9

Europe_PMChttps://europepmc.org/articles/PMC11753677

MeSH Terms

HumansComputational BiologySystems BiologyAlgorithmsNonlinear DynamicsModels, BiologicalComputer SimulationSingle-Cell AnalysisMachine LearningNeural Networks, Computer

Data-driven model discovery and model selection for noisy biological systems

FAIR Checklist

Authors (3)

Funding (3 grants)

Open Access

Topics

Annotations (Europe PMC)