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Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit

Bioinformatics(2022)10.1093/bioinformatics/btac004Source: DataRank Database

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit is a research paper published in Bioinformatics (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.00)OA: bronzeTopics (36)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Yen Ting Lin ORCID,Abhishek Mallela ORCID,Ely F. Miller ORCID,Joshua Colvin ORCID,Abell T. Duprat

Live enrichment

PubMed:34986226 PMC:PMC10060707 OpenAlex:https://openalex.org/W3203991714

NIGMS NIH HHS

Grant: R01 GM111510

National Institutes of Health

Grant: 2R01GM111510-05

Hardening Software for Rule-based Modeling

LDRD

NIH

Los Alamos National Laboratory

LDRD program at Los Alamos National Laboratory

FWCI

0.00

Citation Percentile

0.0%

Citation Trend

2021

bronzeLicense: OUP Standard Publication Reuse

journalhttps://academic.oup.com/bioinformatics/article-pdf/38/6/1770/49692951/btac004.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/38/6/1770/49692951/btac004.pdf

journalhttps://doi.org/10.1093/bioinformatics/btac004

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34986226

repositoryhttp://arxiv.org/abs/2109.14445

Fields of Study

Gene Regulatory Network AnalysisMarkov Chains and Monte Carlo MethodsCell Image Analysis Techniques0101 mathematics01 natural sciences

MeSH Terms

COVID-19AlgorithmsBayes TheoremHumansMarkov ChainsMonte Carlo MethodSoftware

Keywords

Markov chain Monte CarloComputer scienceAlgorithmRejection samplingMetropolis–Hastings algorithmBayesian probabilityBayesian inferencePosterior probabilityPython (programming language)Hybrid Monte CarloMonte Carlo methodSlice samplingArtificial intelligenceMathematicsStatisticsFOS: Biological sciencesHumansCOVID-19Bayes TheoremQuantitative Biology - Quantitative MethodsMarkov ChainsAlgorithmsSoftwareQuantitative Methods (q-bio.QM)

Sustainable Development Goals

SDG 3: 3. Good health