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DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data

GigaScience(2020)10.1093/gigascience/giaa122Source: DataRank Database

DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data is a research paper published in GigaScience (2020). On theSindex it has a DataRank of 0. It has been cited 17 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access17 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.82)OA: goldTopics (29)IDs (PubMed, OpenAlex)

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 (3)

Fangfang Yan ORCID,Zhongming Zhao ORCID,Lukas M. Simon ORCID

Live enrichment

PubMed:33301553 OpenAlex:https://openalex.org/W3110896461

National Institutes of Health

Grant: R01LM012806

Cancer Prevention and Research Institute of Texas

Grant: CPRIT RP180734

National Institutes of Health

Grant: 1R03DE027393-01A1

Transcriptional and Post-transcriptional Co-regulation in Lip Development

National Institutes of Health

Grant: 1R01LM012806-01

Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype

FWCI

0.82

Citation Percentile

0.7%

Citation Trend

2020

2021

2022

2024

2025

goldLicense: cc-by

journalhttps://doi.org/10.1093/gigascience/giaa122

publisherhttps://doi.org/10.1093/gigascience/giaa122

publisherhttps://academic.oup.com/gigascience/article-pdf/9/12/giaa122/60688070/giaa122.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33301553

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7727875

Fields of Study

Single-cell and spatial transcriptomicsBioinformatics and Genomic NetworksCell Image Analysis Techniques0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

MeSH Terms

Machine LearningRNASequence Analysis, RNAGene Expression ProfilingSingle-Cell AnalysisTranscriptome

Keywords

Relevance (law)Computer scienceIdentification (biology)Set (abstract data type)Benchmark (surveying)Machine learningComputational biologyArtificial intelligenceData miningBiologySequence Analysis, RNAGene Expression ProfilingTechnical NoteRNASingle-Cell AnalysisTranscriptome