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Gromov-Wasserstein optimal transport to align single-cell multi-omics data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.28.066787Source: DataRank Database

Gromov-Wasserstein optimal transport to align single-cell multi-omics data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 66 times.

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Open Access66 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 (21)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Rebecca Santorella ORCID,Björn Sandstede ORCID,William Stafford Noble ORCID,Ritambhara Singh ORCID,Pınar Demetçi ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W3022227446

National Science Foundation

Grant: 1714429

Dynamics and Stability of Spatially Extended Patterns

National Science Foundation

Grant: 1740741

Foundations of Model Driven Discovery from Massive Data

National Institutes of Health

Grant: 5U54DK107979-02

University of Washington Center for Nuclear Organization and Function

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/11/11/2020.04.28.066787.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.04.28.066787

repositoryhttps://doi.org/10.1101/2020.04.28.066787

https://dx.doi.org/10.1101/2020.04.28.066787

Fields of Study

Single-cell and spatial transcriptomicsExtracellular vesicles in diseaseEpigenetics and DNA Methylation0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

HyperparameterComputer scienceScripting languageCode (set theory)State (computer science)Data miningMachine learningSource codeArtificial intelligenceUnsupervised learningAlgorithmTheoretical computer scienceSet (abstract data type)Programming language

Sustainable Development Goals

SDG 0: Partnerships for the goals