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Probing T-cell response by sequence-based probabilistic modeling

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009297Source: DataRank Database

Probing T-cell response by sequence-based probabilistic modeling is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0. It has been cited 15 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 0.81)OA: goldTopics (35)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)

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Authors (7)

Vinod P. Balachandran ORCID,Benjamin D. Greenbaum ORCID,Aleksandra M. Walczak ORCID,Thierry Mora ORCID,Rémi Monasson ORCID

Live enrichment

PubMed:34473697 PMC:PMC8476001 OpenAlex:https://openalex.org/W3197266753

H2020 European Research Council

Grant: 724208

H2020 Marie Skłodowska-Curie Actions

Grant: QuanTI

agence nationale de la recherche

Grant: ANR-17 RBMPro CE30-0021

Agence Nationale de la Recherche

Grant: ANR-19 Decrypted CE30-0021-01

Agence Nationale de la Recherche

Grant: Flash Covid 19 - FRM, PROJET SARS-Cov-2immunRNAs

Agence Nationale de la Recherche

Grant: ANR-19-CE45-0018 RESP-REP

National Institutes of Health

Grant: NIH U01CA224175

Mark Foundation For Cancer Research

Grant: Pershing Square Sohn Prize-Mark Foundation Fellowship

NCI NIH HHS

Grant: P30 CA008748

NCI NIH HHS

Grant: U01 CA224175

Lustgarten Foundation

Memorial Sloan-Kettering Cancer Center

Stand Up To Cancer

FWCI

0.81

Citation Percentile

0.7%

Citation Trend

2021

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pcbi.1009297

publisherhttps://doi.org/10.1371/journal.pcbi.1009297

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1009297

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34473697

repositoryhttp://hdl.handle.net/10044/1/92096

Fields of Study

vaccines and immunoinformatics approachesT-cell and B-cell ImmunologyCAR-T cell therapy researchCancer SurvivorsCarcinoma, Pancreatic DuctalCluster AnalysisComputational BiologyDatasets as TopicHumansModels, StatisticalPancreatic NeoplasmsReceptors, Antigen, T-CellT-Lymphocytes

MeSH Terms

Cancer SurvivorsHumansPancreatic NeoplasmsReceptors, Antigen, T-CellT-LymphocytesModels, StatisticalCluster AnalysisComputational BiologyCarcinoma, Pancreatic DuctalDatasets as Topic

Keywords

T-cell receptorComputational biologyEpitopeBiologyRepertoireclone (Java method)AntigenSequence motifT cellGeneticsGeneImmune system

Sustainable Development Goals

SDG 0: Reduced inequalities