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

Inferring signaling pathways with probabilistic programming

Bioinformatics(2020)10.1093/bioinformatics/btaa861Source: DataRank Database

Inferring signaling pathways with probabilistic programming is a research paper published in Bioinformatics (2020). On theSindex it has a DataRank of 0.400. It has been cited 6 times, with 6 citing works in its 1-hop citation network.

N/A

0.400DataRank · unranked

Scored on demand from live citation data

Open Access6 citations · 6 citing works in its network

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 (3 grants)Impact (FWCI 0.07)OA: hybridTopics (52)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)

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.

DataRank Breakdown

Base Score 73%Citation Network 27%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

0.108

From 4 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 6 citers.

Automating Involutive MCMC using Probabilistic and Differentiable Programming
arXiv (Cornell University)20205 citations32 referencesContributes 0.056
scMINER: a mutual information-based framework for clustering and hidden driver inference from single-cell transcriptomics data
Nature Communications202514 citations94 referencesContributes 0.029
Plant science in the age of simulation intelligence
Frontiers in Plant Science202415 citations129 referencesContributes 0.021
Systems-level reconstruction of kinase phosphosignaling networks regulating endothelial barrier integrity using temporal data
npj Systems Biology and Applications20241 citations34 referencesContributes 0.020
Systems-level reconstruction of kinase phosphosignaling networks regulating endothelial barrier integrity using temporal data
bioRxiv (Cold Spring Harbor Laboratory)20240 citations33 referencesContributes 0.000

Authors (2)

Anthony Gitter ORCID,David Merrell ORCID

Live enrichment

PubMed:33381832 PMC:PMC7773483 OpenAlex:https://openalex.org/W3032727029

National Institutes of Health

Grant: T32LM012413

National Science Foundation

Grant: DBI 1553206

National Institutes of Health

Grant: 5T32LM012413-03

Bio-Data Science Training Program

FWCI

0.07

Citation Percentile

0.4%

Citation Trend

2020

2024

2025

hybridLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/article-pdf/36/Supplement_2/i822/35336999/btaa861.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/36/Supplement_2/i822/35336999/btaa861.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/36/Supplement_2/i822/50693434/btaa861.pdf

journalhttps://doi.org/10.1093/bioinformatics/btaa861

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33381832

Fields of Study

Bioinformatics and Genomic NetworksBayesian Modeling and Causal InferenceGene Regulatory Network Analysis0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciencesAlgorithmsBayes TheoremHumansMarkov ChainsMonte Carlo MethodSignal Transduction

MeSH Terms

AlgorithmsBayes TheoremHumansMarkov ChainsMonte Carlo MethodSignal Transduction

Keywords

Computer scienceInferenceProbabilistic logicDynamic Bayesian networkCodebaseMarkov chain Monte CarloBayesian networkBayesian inferenceBiological networkModular designTheoretical computer scienceMachine learningArtificial intelligenceBayesian probabilityComputational biologySource codeBiologyProgramming languageFOS: Computer and information sciencesComputer Science - Machine LearningMolecular Networks (q-bio.MN)SystemsBayes TheoremMachine Learning (stat.ML)Markov ChainsMachine Learning (cs.LG)Statistics - Machine LearningFOS: Biological sciencesHumansQuantitative Biology - Molecular NetworksMonte Carlo MethodAlgorithmsSignal Transduction

Sustainable Development Goals

SDG 3: 3. Good health

Related Papers (1)

Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states

N/A

0.983DataRank · unranked

The EMBO Journal(2020)

co-cited

10.15252/embj.2020104983