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A pipeline for systematic comparison of model levels and parameter inference settings applied to negative feedback gene regulation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.16.444348Source: DataRank Database

A pipeline for systematic comparison of model levels and parameter inference settings applied to negative feedback gene regulation is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (22)IDs (PubMed, OpenAlex)

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Authors (4)

Prashant Singh ORCID,Marc Sturrock ORCID,Andreas Hellander ORCID,Adrien Coulier ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W3162675244

National Institutes of Health

Grant: 2R01EB014877-04A1

StochSS: A Next-Generation Toolkit for Simulation-Driven Biological Discovery

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/05/23/2021.05.16.444348.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.05.16.444348

repositoryhttps://doi.org/10.1101/2021.05.16.444348

https://dx.doi.org/10.1101/2021.05.16.444348

Fields of Study

Markov Chains and Monte Carlo MethodsProbabilistic and Robust Engineering DesignStatistical Methods and Inference0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

InferenceApproximate Bayesian computationComputer sciencePipeline (software)FidelityRange (aeronautics)Bayesian inferenceMachine learningModel selectionSelection (genetic algorithm)Bayesian probabilityComputational modelData miningArtificial intelligenceEngineering