Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods
L Zhang, Y Guo, B Li, J Qu, C Zang, F Li… - European journal of …, 2013 - Springer
Background Hepatocellular carcinoma (HCC) is one of the most common types of cancer
worldwide. Despite several efforts to elucidate molecular mechanisms involved in this …
worldwide. Despite several efforts to elucidate molecular mechanisms involved in this …
Identifying the biomarkers and pathways associated with hepatocellular carcinoma based on an integrated analysis approach
Y Yang, Y Ma, M Yuan, Y Peng, Z Fang… - Liver …, 2021 - Wiley Online Library
Abstract Background and Aims Hepatocellular carcinoma (HCC) is one of the most common
causes of cancer‐related death worldwide. The molecular mechanism underlying HCC is …
causes of cancer‐related death worldwide. The molecular mechanism underlying HCC is …
Identification and analysis of potential key genes associated with hepatocellular carcinoma based on integrated bioinformatics methods
Z Li, Y Lin, B Cheng, Q Zhang, Y Cai - Frontiers in Genetics, 2021 - frontiersin.org
Background Hepatocellular carcinoma (HCC) is a type of primary liver tumor with poor
prognosis and high mortality, and its molecular mechanism remains incompletely …
prognosis and high mortality, and its molecular mechanism remains incompletely …
Identifying potential prognosis markers in hepatocellular carcinoma via integrated bioinformatics analysis and biological experiments
X Hu, J Zhou, Y Zhang, Y Zeng, G Jie, S Wang… - Frontiers in …, 2022 - frontiersin.org
Background: Hepatocellular carcinoma is one kind of clinical common malignant tumor with
a poor prognosis, and its pathogenesis remains to be clarified urgently. This study was …
a poor prognosis, and its pathogenesis remains to be clarified urgently. This study was …
[HTML][HTML] Identification of potential therapeutic targets in hepatocellular carcinoma using an integrated bioinformatics approach
Q Huang, J Li, A Wei - Translational Cancer Research, 2018 - tcr.amegroups.org
Background: Hepatocellular carcinoma (HCC) frequently recurs and has poor prognosis,
and thus it is essential to investigate the molecular mechanisms associated with HCC …
and thus it is essential to investigate the molecular mechanisms associated with HCC …
Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis
Z Meng, J Wu, X Liu, W Zhou, M Ni… - Journal of …, 2020 - journals.sagepub.com
Objective The objective was to identify potential hub genes associated with the
pathogenesis and prognosis of hepatocellular carcinoma (HCC). Methods Gene expression …
pathogenesis and prognosis of hepatocellular carcinoma (HCC). Methods Gene expression …
A systems biology-based classifier for hepatocellular carcinoma diagnosis
Aim The diagnosis of hepatocellular carcinoma (HCC) in the early stage is crucial to the
application of curative treatments which are the only hope for increasing the life expectancy …
application of curative treatments which are the only hope for increasing the life expectancy …
Integrated bioinformatics analysis reveals key candidate genes and pathways associated with clinical outcome in hepatocellular carcinoma
Hepatocellular carcinoma (HCC) accounts for approximately 85–90% of all liver cancer
cases and has poor relapse-free survival. There are many gene expression studies that …
cases and has poor relapse-free survival. There are many gene expression studies that …
Identification of hepatocellular carcinoma-related potential genes and pathways through bioinformatic-based analyses
Z Wan, X Zhang, Y Luo, B Zhao - Genetic testing and molecular …, 2019 - liebertpub.com
Background: Hepatocellular carcinoma (HCC) is one of the most prevalent tumors
worldwide. However, the key roles of most molecules associated with tumor proliferation …
worldwide. However, the key roles of most molecules associated with tumor proliferation …
Identifying biomarkers of hepatocellular carcinoma based on gene co-expression network from high-throughput data
Y Zhang, Z Liu, J Li - MEDINFO 2017: Precision Healthcare …, 2017 - ebooks.iospress.nl
In this paper, we proposed an approach systematically based on the use of gene co-
expression network analyses to identify potential biomarkers for Hepatocellular Carcinoma …
expression network analyses to identify potential biomarkers for Hepatocellular Carcinoma …
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