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Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model

Genome Research(2020)10.1101/gr.264606.120Source: DataRank Database

Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model is a research paper published in Genome Research (2020). On theSindex it has a DataRank of 0. It has been cited 23 times.

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Open Access23 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (25 grants)OA: bronzeTopics (56)IDs (PubMed)

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Authors (6)

Matthew C. Hill ORCID,Jun Wang ORCID,Jianxin Wang ORCID,James F. Martin ORCID,Min Li ORCID

Live enrichment

PubMed:33184104

National Natural Science Foundation of China

Grant: 61732009

111 Project

Grant: B18059

Hunan Provincial Science and Technology Program

Grant: 2019CB1007

National Institutes of Health

Grant: DE023177

National Institutes of Health

Grant: HL127717

National Institutes of Health

Grant: HL130804

National Institutes of Health

Grant: HL118761

National Institutes of Health

Grant: F31HL136065

Foundation LeDucq Transatlantic Networks of Excellence in Cardiovascular Research

Grant: 14CVD01

National Institutes of Health

Grant: 1R01HL118761-01A1

Pitx2 in atrial fibrillation

National Institutes of Health

Grant: 5R01HL127717-07

Hippo and Wnt Signaling in Cardiac Regeneration

National Institutes of Health

Grant: 5R01HL127717-06

Hippo and Wnt Signaling in Cardiac Regeneration

National Institutes of Health

Grant: 5R01HL130804-03

Optical elastography for assessment of myocardial regeneration

National Institutes of Health

Grant: 5R01DE023177-03

MicroRNAs in cleft lip and palate

National Institutes of Health

Grant: 5R01HL118761-10

Pitx2 in atrial fibrillation

National Institutes of Health

Grant: 5F31HL136065-03

The transcriptional landscapes and cell states of regenerative cardiomyocytes

NHLBI NIH HHS

Grant: R01 HL142704

NHLBI NIH HHS

Grant: R01 HL118761

NHLBI NIH HHS

Grant: R56 HL142704

NHLBI NIH HHS

Grant: R01 HL127717

NIDCR NIH HHS

Grant: K01 DE026561

NIDCR NIH HHS

Grant: R03 DE025873

NIDCR NIH HHS

Grant: R01 DE029014

NHLBI NIH HHS

Grant: R01 HL130804

NIDCR NIH HHS

Grant: R01 DE023177

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

publisherhttps://genome.cshlp.org/content/30/12/1835.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/gr.264606.120

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7706734

https://doi.org/10.1101/2020.04.10.036145

https://doi.org/10.1101/gr.264606.120

Fields of Study

0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciencesAnimalsCell Line, TumorComputational BiologyDogsEnhancer Elements, GeneticHorsesHumansInterferon Regulatory FactorsMachine LearningMelanomaMiceModels, GeneticNeoplasm TransplantationPromoter Regions, GeneticSwineZebrafishInterferon Regulatory Factor-4

MeSH Terms

AnimalsCell Line, TumorComputational BiologyDogsEnhancer Elements, GeneticHorsesHumansInterferon Regulatory FactorsMachine LearningMelanomaMiceModels, GeneticNeoplasm TransplantationPromoter Regions, GeneticSwineZebrafishInterferon Regulatory Factor-4

Keywords

Models, GeneticSwineMethodComputational BiologyMachine LearningMiceDogsEnhancer Elements, GeneticCell Line, TumorInterferon Regulatory FactorsAnimalsHumansInterferon Regulatory Factor-4HorsesPromoter Regions, GeneticMelanomaNeoplasm TransplantationZebrafish