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Next-Generation Analytics for Omics Data

Cancer Cell(2020)10.1016/j.ccell.2020.09.002Source: DataRank Database

Next-Generation Analytics for Omics Data is a research paper published in Cancer Cell (2020). On theSindex it has a DataRank of 0. It has been cited 32 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access32 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)OA: bronzeTopics (15)IDs (PubMed, PMC)

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 (5)

Hu Chen ORCID,Yumeng Wang ORCID,Mei-Ju May Chen ORCID,Han Liang ORCID,Jun Li ORCID

Live enrichment

PubMed:32976776 PMC:PMC8336660

National Institutes of Health

Grant: U24CA209851

National Institutes of Health

Grant: U01CA217842

National Institutes of Health

Grant: P50CA221703

National Institutes of Health

Grant: P30CA016672

National Institutes of Health

Grant: 3P30CA016672-41S4

Cancer Center Support (CORE) Grant

National Institutes of Health

Grant: 5U24CA209851-03

TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data

National Institutes of Health

Grant: 5P50CA221703-04

The University of Texas MD Anderson Cancer Center SPORE in Melanoma

National Institutes of Health

bronzeLicense: Elsevier Non-Commercial

publisherhttp://www.cell.com/article/S1535610820304335/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1535610820304335?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1535610820304335?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8336660

https://doi.org/10.1016/j.ccell.2020.09.002

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

AnimalsHumansComputational BiologyAlgorithmsNatural Language ProcessingBig Data

Keywords

Big DataAnimalsComputational BiologyHumansAlgorithmsNatural Language Processing