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Predictive modeling of single-cell DNA methylome data enhances integration with transcriptome data

Genome Research(2020)10.1101/gr.267047.120Source: DataRank Database

Predictive modeling of single-cell DNA methylome data enhances integration with transcriptome data 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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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)OA: bronzeTopics (24)IDs (PubMed, OpenAlex)SDGs (1)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Hao Wu ORCID,Kai Tan ORCID,Yasin Uzun ORCID

Live enrichment

PubMed:33219054 OpenAlex:https://openalex.org/W3104116520

National Institutes of Health

Grant: CA226187

National Institutes of Health

Grant: CA233285

National Institutes of Health

Grant: HL156090

Leona M. and Harry B. Helmsley Charitable Trust

Grant: 2008-04062

NCI NIH HHS

Grant: U01 CA226187

NCI NIH HHS

Grant: U2C CA233285

NHLBI NIH HHS

Grant: U54 HL156090

bronzeLicense: cc-by

journalhttps://genome.cshlp.org/content/31/1/101.full.pdf

publisherhttps://genome.cshlp.org/content/31/1/101.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/gr.267047.120

journalhttps://doi.org/10.1101/gr.267047.120

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33219054

Fields of Study

Epigenetics and DNA MethylationSingle-cell and spatial transcriptomicsGenetic Syndromes and ImprintingCpG IslandsDNA MethylationEpigenomeEpigenomicsTranscriptome

MeSH Terms

EpigenomeCpG IslandsDNA MethylationEpigenomicsTranscriptome

Keywords

BiologyDNA methylationTranscriptomeEpigenomicsComputational biologyEpigeneticsGene expressionMethylationRegulation of gene expressionGeneGenetics

Sustainable Development Goals

SDG 0: Life below water