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Cell Fate Forecasting: A Data-Assimilation Approach to Predict Epithelial-Mesenchymal Transition

Biophysical Journal(2020)10.1016/j.bpj.2020.02.011Source: DataRank Database

Cell Fate Forecasting: A Data-Assimilation Approach to Predict Epithelial-Mesenchymal Transition is a research paper published in Biophysical Journal (2020). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access11 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: hybridTopics (7)IDs (PubMed)

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)

Matthew J. Hoffman ORCID,Elizabeth M. Cherry ORCID,Christopher A. Lemmon ORCID,Seth H. Weinberg ORCID,Mario J. Mendez

Live enrichment

PubMed:19965766

National Science Foundation

Grant: 1762803

Collaborative Research: Developing a Quantitative Three-Dimensional Understanding of Cardiac Arrhythmias

National Institutes of Health

Grant: 5R01GM122855-02

Mechanochemical Signaling Dynamics in Epithelial-Mesenchymal Transition

hybridLicense: cc-by-nc-nd

publisherhttp://www.cell.com/article/S0006349520301326/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0006349520301326?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0006349520301326?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7136288

https://doi.org/10.1016/j.bpj.2019.11.1890

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Epithelial-Mesenchymal TransitionTransforming Growth Factor betaCell DifferentiationArticles