Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas

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Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas

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im Juli 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в липні 2018

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Integrated genomic analysis fo ...... using The Cancer Genome Atlas

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Fang-Liang Xie

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Feng Zhang

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Kai Li

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Wei Li

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Xu Li

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Yan-Zhou Song

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Zhong Wang

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P2860

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Assessing the clinical utility of cancer genomic and proteomic data across tumor types.

Added predictive value of high-throughput molecular data to clinical data and its validation.

Micro RNA expression profiles as adjunctive data to assess the risk of hepatocellular carcinoma recurrence after liver transplantation.

Highlights for α-fetoprotein in determining prognosis and treatment monitoring for hepatocellular carcinoma.

Rel/NF-kappa B/I kappa B signal transduction in the generation and treatment of human cancer.

The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.

Novel proteomic biomarker panel for prediction of aggressive metastatic hepatocellular carcinoma relapse in surgically resectable patients.

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3145-3154

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scholarly article

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10.3748/WJG.V24.I28.3145

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English

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2018-07-28T00:00:00Z

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30065560

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gastroenterology

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6064958

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