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Analysis of half a billion datapoints across ten machine-learning algorithms identify key determinants of insulin gene transcription

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.27.437353Source: DataRank Database

Analysis of half a billion datapoints across ten machine-learning algorithms identify key determinants of insulin gene transcription is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (14)IDs (PubMed, OpenAlex)SDGs (2)

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 (13)

Vinod Thorat,Mugdha V. Joglekar ORCID,Charlotte X. Dong ORCID,Hugo Lee,Yi Vee Chew ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3150070368

National Institutes of Health

Grant: 2T32GM007215-36

Graduate Training in Molecular Biosciences

Australian Research Council (ARC)

Grant: FT110100254

RNA-based analysis for prediction of islet death in diabetes

greenLicense: https://www.biorxiv.org/about/FAQ#license

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/10/29/2021.03.27.437353.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.03.27.437353

repositoryhttps://doi.org/10.1101/2021.03.27.437353

https://www.biorxiv.org/content/biorxiv/early/2021/04/03/2021.03.27.437353.full.pdf

Fields of Study

Single-cell and spatial transcriptomicsPancreatic function and diabetesDiabetes and associated disorders0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Random forestKey (lock)WorkflowEnsemble learningGeneBig dataCorrelationInsulin

Sustainable Development Goals

SDG 3: 3. Good healthSDG 4: 4. Education