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Distribution-based sketching of single-cell samples

arXiv (Cornell University)(2022)10.1145/3535508.3545539Source: DataRank Database

Distribution-based sketching of single-cell samples is a research paper published in arXiv (Cornell University) (2022). On theSindex it has a DataRank of 0. It has been cited 22 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access22 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (13)IDs (PubMed)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 (5)

Jolene S. Ranek ORCID,Siyuan Shan,Natalie Stanley ORCID,Junier B. Oliva,Vishal Athreya Baskaran

Live enrichment

PubMed:19910364

NIH (National Institutes of Health)

Grant: 1R01AA02687901A1

NSF (National Science Foundation)

Grant: IIS2133595

National Science Foundation

Grant: 2133595

RI: Small: From a Machine Detector to a Machine Detective: Decisions and Queries with Uncertain and Incomplete Information

greenLicense: https://www.acm.org/publications/policies/copyright_policy#Background

GREENhttps://arxiv.org/pdf/2207.00584

repositoryhttps://arxiv.org/pdf/2207.00584

publisherhttps://dl.acm.org/doi/10.1145/3535508.3545539

publisherhttps://dl.acm.org/doi/pdf/10.1145/3535508.3545539

https://doi.org/10.1145/3535508.3545539

Fields of Study

Computer ScienceBiologyMedicine0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningFOS: Biological sciencesQuantitative Biology - Quantitative MethodsQuantitative Methods (q-bio.QM)Machine Learning (cs.LG)

Sustainable Development Goals

SDG 3: 3. Good health