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Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)10.1109/tcbb.2021.3108695Source: DataRank Database

Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation is a research paper published in IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (20)IDs (PubMed, PMC)

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Authors (4)

Prashant Singh ORCID,Fredrik Wrede ORCID,Andreas Hellander ORCID,Mattias Åkesson

Live enrichment

PubMed:34460381 PMC:PMC9847490

National Institutes of Health

Grant: NIH/2R01EB014877-04A1

NIBIB NIH HHS

Grant: R01 EB014877

National Institutes of Health

Grant: 2R01EB014877-04A1

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

Göran Gustafsson foundation

eSSENCE strategic collaboration on eScience

greenLicense: IEEE Copyright

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9847490

publisherhttp://xplorestaging.ieee.org/ielx7/8857/9976468/09525290.pdf?arnumber=9525290

repositoryhttp://arxiv.org/pdf/2001.11760.pdf

repositoryhttps://doi.org/10.48550/arxiv.2001.11760

https://doi.org/10.1109/tcbb.2021.3108695

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Bayes TheoremSystems BiologyAlgorithmsTime FactorsGene Regulatory NetworksNeural Networks, Computer

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningTime FactorsSystems BiologyBayes TheoremMachine Learning (stat.ML)Machine Learning (cs.LG)Statistics - Machine LearningGene Regulatory NetworksNeural Networks, ComputerAlgorithms