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Benchmarking Gene Regulatory Network Inference Methods on Simulated and Experimental Data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.12.540581Source: DataRank Database

Benchmarking Gene Regulatory Network Inference Methods on Simulated and Experimental Data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). 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 (2 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (2)

Abhyudai Singh ORCID,Michael Saint-Antoine

Live enrichment

PubMed:37215029 OpenAlex:https://openalex.org/W4376505028

National Institutes of Health

Grant: 5R35GM148351-03

Generalized fluctuation test for deciphering phenotypic switching within cell populations

National Science Foundation

Grant: 1711548

Stochastic inference and control of complex biological networks

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/12/2023.05.12.540581.full.pdf

repositoryhttp://dx.doi.org/10.1101/2023.05.12.540581

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37215029

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10197678

Fields of Study

Gene Regulatory Network AnalysisBioinformatics and Genomic NetworksSingle-cell and spatial transcriptomics0206 medical engineering02 engineering and technology

Keywords

InferenceBenchmarkingBenchmark (surveying)Computer scienceGene regulatory networkData miningMachine learningArtificial intelligenceGeneBiologyGene expressionArticle

Sustainable Development Goals

SDG 0: Partnerships for the goals