Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

A Probabilistic Approach to Explore Signal Execution Mechanisms With Limited Experimental Data

Frontiers in Genetics(2020)10.3389/fgene.2020.00686Source: DataRank Database

A Probabilistic Approach to Explore Signal Execution Mechanisms With Limited Experimental Data is a research paper published in Frontiers in Genetics (2020). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: goldTopics (23)IDs (PubMed, PMC, 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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (2)

Carlos F. Lopez ORCID,Michael A. Kochen ORCID

Live enrichment

PubMed:32754196 PMC:PMC7381302 OpenAlex:https://openalex.org/W2967165131

NCI NIH HHS

Grant: U01 CA215845

NLM NIH HHS

Grant: T15 LM007450

NCI NIH HHS

Grant: U54 CA217450

National Science Foundation

National Institutes of Health

FWCI

0.00

Citation Percentile

0.0%

goldLicense: cc-by

journalhttps://doi.org/10.3389/fgene.2020.00686

publisherhttps://doi.org/10.3389/fgene.2020.00686

publisherhttps://www.frontiersin.org/article/10.3389/fgene.2020.00686/full

repositoryhttps://doi.org/10.1101/732396

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32754196

Fields of Study

Protein Structure and DynamicsComputational Drug Discovery MethodsMitochondrial Function and Pathology

Keywords

Computer scienceProbabilistic logicContext (archaeology)SIGNAL (programming language)In silicoRegulatorBayesian networkSystems biologyNetwork topologyData miningMachine learningArtificial intelligenceComputational biologyBiologyApoptosisMechanismHigh Performance ComputingInferenceProbabilisticLimited Data