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Classification of Cancer Types Using Graph Convolutional Neural Networks

Frontiers in Physics(2020)10.3389/fphy.2020.00203Source: DataRank Database

Classification of Cancer Types Using Graph Convolutional Neural Networks is a research paper published in Frontiers in Physics (2020). On theSindex it has a DataRank of 0. It has been cited 142 times.

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Open Access142 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: goldTopics (5)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Yu‐Chiao Chiu ORCID,Allen Hererra,Milad Mostavi,Joshua Ramirez,Yidong Chen ORCID

Live enrichment

PubMed:33437754 PMC:PMC7799442

NCATS NIH HHS

Grant: UM1 TR004538

NCI NIH HHS

Grant: K99 CA248944

NCRR NIH HHS

Grant: UL1 RR025767

NCATS NIH HHS

Grant: UL1 TR002645

NCI NIH HHS

Grant: P30 CA054174

NIGMS NIH HHS

Grant: R01 GM113245

goldLicense: cc-by

publisherhttps://www.frontiersin.org/articles/10.3389/fphy.2020.00203/pdf

publisherhttps://www.frontiersin.org/article/10.3389/fphy.2020.00203/full

repositoryhttps://doaj.org/article/53a754c392d247388107dafbf5526cbb

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7799442

Keywords

Cancer Classification2Data-Driven Model4Deep Learning3Graph Convolutional Neural Network1The Cancer Genome Atlas (Tcga)5

Classification of Cancer Types Using Graph Convolutional Neural Networks

FAIR Checklist

Authors (8)

Funding (6 grants)

Open Access

Topics

Annotations (Europe PMC)