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Learning and interpreting the gene regulatory grammar in a deep learning framework

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008334Source: DataRank Database

Learning and interpreting the gene regulatory grammar in a deep learning framework is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 23 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access23 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 1.30)OA: goldTopics (64)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (2)

John A. Capra ORCID,Ling Chen ORCID

Live enrichment

PubMed:33137083 PMC:PMC7660921 OpenAlex:https://openalex.org/W3094755456

National Institutes of Health

Grant: R35GM127087

National Institutes of Health

Grant: R01GM115836

National Institutes of Health

Grant: 5R35GM127087-03

The Evolution of Gene Regulation and Human Disease

National Institutes of Health

Grant: 5R01GM115836-02

Modeling the Dynamics of Genome-Scale Data Across Trees

Burroughs Wellcome Fund

FWCI

1.30

Citation Percentile

0.8%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008334&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008334&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1008334

journalhttps://doi.org/10.1371/journal.pcbi.1008334

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33137083

Fields of Study

Genomics and Chromatin DynamicsRNA and protein synthesis mechanismsRNA Research and Splicing0301 basic medicine0303 health sciences03 medical and health sciencesAnimalsBinding SitesComputational BiologyComputer SimulationDatabases, GeneticDeep LearningEnhancer Elements, GeneticGene Regulatory NetworksGenes, RegulatorMiceModels, GeneticNeural Networks, ComputerTerminology as TopicTranscription Factors

MeSH Terms

Deep LearningAnimalsBinding SitesComputer SimulationEnhancer Elements, GeneticGenes, RegulatorModels, GeneticTerminology as TopicTranscription FactorsNeural Networks, ComputerComputational BiologyDatabases, GeneticMiceGene Regulatory Networks

Keywords

EnhancerComputer scienceRegulatory sequenceArtificial intelligenceComputational biologyGene regulatory networkRule-based machine translationCluster analysisDeep learningTranscription factorMachine learningBiologyGeneGeneticsGene expressionBinding SitesModels, GeneticQH301-705.5MiceEnhancer Elements, GeneticTerminology as TopicDatabases, GeneticGenes, RegulatorAnimalsComputer SimulationGene Regulatory NetworksNeural Networks, ComputerBiology (General)Research ArticleTranscription Factors

Sustainable Development Goals

SDG 0: Quality Education

Learning and interpreting the gene regulatory grammar in a deep learning framework

FAIR Checklist

Authors (2)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)