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Identification of Susceptibility Genes in Hepatic Cancer Using Whole Exome Sequencing and Risk Prediction Model Construction Cover

Identification of Susceptibility Genes in Hepatic Cancer Using Whole Exome Sequencing and Risk Prediction Model Construction

Revista Romana de Medicina de Laborator
Volume 28 (2020): Issue 1 (January 2020)
By: Jinghui Zheng,  Youming Tang,  Encun Hou,  Guangde Bai,  Zuping Lian,  Peisheng Xie and  Weizhi Tang  
Open Access
|Feb 2020

Authors

Jinghui Zheng

jinghui3131@sina.com

Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China
Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China

Youming Tang

Department of Gastroenterology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China

Encun Hou

Department of Oncology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China

Guangde Bai

Department of Oncology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China

Zuping Lian

Department of Oncology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China

Peisheng Xie

Department of Oncology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China

Weizhi Tang

Department of Oncology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, China
DOI: https://doi.org/10.2478/rrlm-2020-0008 | Journal eISSN: 2284-5623 | Journal ISSN: 1841-6624
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Language: English
Page range: 67 - 74
Submitted on: Jun 14, 2019
|
Accepted on: Dec 1, 2019
|
Published on: Feb 7, 2020
Published by: Romanian Association of Laboratory Medicine
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
SNP,
biomarkers,
HCC
Related subjects:
Life sciences,
Molecular biology,
Biochemistry,
Human biology,
Microbiology and virology

© 2020 Jinghui Zheng, Youming Tang, Encun Hou, Guangde Bai, Zuping Lian, Peisheng Xie, Weizhi Tang, published by Romanian Association of Laboratory Medicine
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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