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Predicting lung aging using scRNA-Seq data

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012632Source: DataRank Database

Predicting lung aging using scRNA-Seq data is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (14 grants)Impact (FWCI 0.36)OA: goldTopics (54)IDs (PubMed, PMC, OpenAlex)Annotations (2)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 (15)

A Singh ORCID,John E. McDonough ORCID,Taylor Adams ORCID,Robin Vos ORCID,Ruben De Man ORCID

Live enrichment

PubMed:39700255 PMC:PMC11741621 OpenAlex:https://openalex.org/W4405606501

National Institutes of Health

Grant: OT2OD026682, 1U54AG075931 and 1U24CA268108

NHLBI NIH HHS

Grant: R01 HL127349

NHLBI NIH HHS

Grant: U01 HL145567

NIA NIH HHS

Grant: U54 AG075931

NCATS NIH HHS

Grant: UL1 TR001863

NCI NIH HHS

Grant: U24 CA268108

NHLBI NIH HHS

Grant: R21 HL161723

NIH HHS

Grant: OT2 OD026682

National Institutes of Health

Grant: 5R01HL127349-07

Genomic Analysis of Tissue and Cellular Heterogeneity in IPF

National Institutes of Health

Grant: 3U24CA268108-03S2

SenNet Supplement - 2 -FY 2024

National Institutes of Health

Grant: 5R21HL161723-02

Integrating single-cell based transcriptomic signatures for identifying therapeutic targets of COPD

National Institutes of Health

Grant: 5U01HL145567-04

Normal Aging Lung Cell Atlas (NALCA)

National Institutes of Health

Grant: 3OT2OD026682-01S1

Comprehensive, Flexible and FAIR Tools for the HuBMAP HIVE

National Institutes of Health

Grant: 1U54AG075931-01

TriState SenNET (Lung and Heart) Tissue Map and Atlas consortium

FWCI

0.36

Citation Percentile

0.6%

Citation Trend

2026

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pcbi.1012632

publisherhttps://doi.org/10.1371/journal.pcbi.1012632

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1012632

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39700255

repositoryhttps://lirias.kuleuven.be/handle/20.500.12942/756711

Fields of Study

MicroRNA in disease regulationSingle-cell and spatial transcriptomicsCancer-related molecular mechanisms research0301 basic medicine03 medical and health sciences0302 clinical medicine

MeSH Terms

RNA-SeqSingle-Cell Gene Expression AnalysisAgingEpithelial CellsHumansLungSequence Analysis, RNAComputational BiologyGene Expression ProfilingSingle-Cell Analysis

Keywords

LungRepresentation (politics)Regression analysisComputational biologyRegressionPredictive modellingComputer scienceBioinformaticsBiologyMedicineMachine learningInternal medicineStatisticsMathematicsBiochemistry & Molecular BiologyAgingQH301-705.5PHENOTYPEBiochemical Research MethodsAGEHumansRNA-SeqBiology (General)01 Mathematical SciencesGENE-EXPRESSIONScience & TechnologySequence Analysis, RNAMETHYLATIONEpithelial Cells06 Biological SciencesSingle-Cell Gene Expression AnalysisLIFESENESCENCECELLSMathematical & Computational Biology08 Information and Computing SciencesLife Sciences & BiomedicineResearch Article

Sustainable Development Goals

SDG 0: Good health and well-being