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Identification of a Prognostic Index Based on a Metabolic-Genomic Landscape Analysis of Hepatocellular Carcinoma (HCC)
Author(s) -
Xin Yang,
Qiong Liu,
Juan Zou,
Yukun Li,
Xuanping Xia
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
ISSN - 1179-1322
DOI - 10.2147/cmar.s316588
Subject(s) - hepatocellular carcinoma , kegg , lasso (programming language) , oncology , pathway analysis , metabolomics , medicine , immunohistochemistry , bioinformatics , computational biology , biology , gene , cancer research , gene expression , transcriptome , genetics , computer science , world wide web
Metabolic disorders have attracted increasing attention from scientists who conduct research on various tumours, especially hepatocellular carcinoma (HCC). The purpose of this study was to assess the prognostic significance of metabolism in HCC.

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