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Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.07.030007Source: DataRank Database

Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.542. It has been cited 36 times.

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0.542DataRank · unranked

Scored on demand from live citation data

Open Access36 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)OA: greenTopics (27)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.542

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (2)

Matthew Stephens ORCID,Abhishek Sarkar ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W3016251883

National Institutes of Health

Grant: 2R01HG002585-09A1

Genome Analysis: Data Accuracy, Haplotyping and Mapping

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/04/19/2020.04.07.030007.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.04.07.030007

repositoryhttps://doi.org/10.1101/2020.04.07.030007

https://doi.org/10.1038/s41588-021-00873-4

Fields of Study

Single-cell and spatial transcriptomicsExtracellular vesicles in diseaseMicroRNA in disease regulation0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

TerminologyConfusionExpression (computer science)Perspective (graphical)Dropout (neural networks)Simple (philosophy)Computer scienceArtificial intelligenceEpistemologyPsychologyMachine learningLinguisticsPhilosophyGene Expression RegulationModels, GeneticSequence Analysis, RNATerminology as TopicHumansPoisson DistributionSingle-Cell Analysis