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MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division

Biophysical Journal(2023)10.1016/j.bpj.2023.05.017Source: DataRank Database

MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division is a research paper published in Biophysical Journal (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.27)OA: greenTopics (25)IDs (PubMed, OpenAlex)

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 (5)

Spencer Cockerell,Michael Phillips ORCID,Gábor Balázsi ORCID,Kingshuk Ghosh ORCID,Andrew S. Torres ORCID

Live enrichment

PubMed:37218129 OpenAlex:https://openalex.org/W4377227356

National Institute of General Medical Sciences

Grant: R35 GM122561

National Institutes of Health

Grant: R15GM128162

National Institutes of Health

Grant: R01GM13890

National Science Foundation

Grant: DMR-2213103

FWCI

0.27

Citation Percentile

0.5%

Citation Trend

2023

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10397576/pdf/main.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0006349523003296?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0006349523003296?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10397576

Fields of Study

Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomicsBacterial Genetics and Biotechnology

MeSH Terms

Bayes TheoremCell DivisionModels, BiologicalProteinsStochastic ProcessesGene Expression

Keywords

Cell divisionDivision (mathematics)Noise (video)Expression (computer science)Stochastic modellingA priori and a posterioriBiological systemComputer scienceComputational biologyBiologyAlgorithmCellArtificial intelligenceMathematicsGeneticsStatistics