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

A novel statistical method for decontaminating T-cell receptor sequencing data

Briefings in Bioinformatics(2023)10.1093/bib/bbad230Source: DataRank Database

A novel statistical method for decontaminating T-cell receptor sequencing data is a research paper published in Briefings in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 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 (4 grants)Impact (FWCI 0.44)OA: greenTopics (50)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.

Authors (11)

Mehmet Altan ORCID,Alexandre Reuben ORCID,Ruitao Lin ORCID,John V. Heymach ORCID,Hai T. Tran ORCID

Live enrichment

PubMed:37337757 PMC:PMC10359082 OpenAlex:https://openalex.org/W4381307512

National Cancer Institute

Grant: R01CA234629

National Institutes of Health

Grant: R03CA270725

National Institutes of Health

Grant: 1R03CA270725-01

Statistical models for intratumor heterogeneity of tumor-infiltrated leukocytes in lung cancer

National Institutes of Health

Grant: 5R01CA234629-03

The molecular and immune evolution in the progression of lung neoplasia to invasive adenocarcinoma

FWCI

0.44

Citation Percentile

0.7%

Citation Trend

2024

2025

greenLicense: OUP Standard Publication Reuse

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10359082/pdf/bbad230.pdf

publisherhttps://academic.oup.com/bib/article-pdf/24/4/bbad230/50916837/bbad230.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10359082

journalhttps://doi.org/10.1093/bib/bbad230

Fields of Study

T-cell and B-cell ImmunologyCAR-T cell therapy researchMonoclonal and Polyclonal Antibodies Research0206 medical engineering02 engineering and technology

MeSH Terms

Bayes TheoremHumansReceptors, Antigen, T-CellT-LymphocytesModels, StatisticalHigh-Throughput Nucleotide Sequencing

Keywords

T-cell receptorContaminationComputer sciencePairwise comparisonRobustness (evolution)Computational biologyPopulationData miningBiologyArtificial intelligenceT cellImmune systemImmunologyGeneticsGeneEcologyMedicineBayesian ModelContamination DetectionTcr Sequencing570Medical SciencesModels, StatisticalBioinformaticsT-LymphocytesReceptors, Antigen, T-Cell610High-Throughput Nucleotide SequencingBayes TheoremStatisticalT-CellBiomedical InformaticsOncologyModelsAntigenReceptorsMedical SpecialtiesMedicine and Health SciencesHumans

Sustainable Development Goals

SDG 0: Responsible consumption and production