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

Computational tools for assessing gene therapy under branching process models of mutation

Bulletin of Mathematical Biology(2021)10.1007/s11538-021-00969-2Source: DataRank Database

Computational tools for assessing gene therapy under branching process models of mutation is a research paper published in Bulletin of Mathematical Biology (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

1 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 0.08)OA: closedTopics (57)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

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 (4)

Janet S. Sinsheimer ORCID,Mary E. Sehl ORCID,Jason Xu ORCID,Timothy C. Stutz ORCID

Live enrichment

PubMed:34870755 OpenAlex:https://openalex.org/W3212400960

National Institutes of Health

Grant: AI153044

National Institutes of Health

Grant: HG006139

National Institutes of Health

Grant: 5R01AI153044-04

Statistical innovation to integrate sequences and phenotypes for scalable phylodynamic inference

National Institutes of Health

Grant: 5R01HG006139-06

Genomics, GPUs, and Next Generation Computational Statistics

FWCI

0.08

Citation Percentile

0.3%

Citation Trend

2024

2026

closedLicense: Springer TDM

publisherhttps://link.springer.com/content/pdf/10.1007/s11538-021-00969-2.pdf

publisherhttps://link.springer.com/article/10.1007/s11538-021-00969-2/fulltext.html

journalhttps://doi.org/10.1007/s11538-021-00969-2

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34870755

http://arxiv.org/pdf/2111.08183

Fields of Study

Cancer Genomics and DiagnosticsRenal and related cancersSingle-cell and spatial transcriptomics0301 basic medicine03 medical and health sciences0303 health sciencesGenetic TherapyHematopoietic Stem Cell TransplantationMathematical ConceptsModels, BiologicalMutationStochastic ProcessesTransplantation, Autologous

MeSH Terms

Models, BiologicalMutationStochastic ProcessesTransplantation, AutologousGenetic TherapyHematopoietic Stem Cell TransplantationMathematical Concepts

Keywords

MutantBranching processPopulationStem cellMutationBiologyMutagenesisGeneticsGeneComputational biologyStatistical physicsPhysicsMedicineHematopoiesisMechanistic ModelsGenerating FunctionsConditional MomentsStochastic Population ProcessesFOS: Computer and information sciencesStatistics - ComputationModels, BiologicalTransplantation, AutologousMedical applications (general)Applications of branching processesFOS: MathematicsMathematics - Numerical AnalysisComputational methods for problems pertaining to biologyQuantitative Biology - Populations and EvolutionComputation (stat.CO)Stochastic ProcessesHematopoietic Stem Cell TransplantationPopulations and Evolution (q-bio.PE)Genetic TherapyMathematical ConceptsNumerical Analysis (math.NA)FOS: Biological sciencesGenetics and epigenetics

Computational tools for assessing gene therapy under branching process models of mutation

FAIR Checklist

Authors (4)

Funding (4 grants)

Impact

Open Access

Topics