Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in Hepatocellular carcinoma

Q Su, W Li, X Zhang, R Wu, K Zheng… - Current …, 2023 - ingentaconnect.com
Background: Liver cancer is a major medical problem because of its high morbidity and
mortality. Hepatocellular carcinoma (HCC) is the most common type of liver cancer …

WinBinVec: Cancer-associated protein-protein interaction extraction and identification of 20 various cancer types and metastasis using different deep learning models

S Abdollahi, PC Lin, JH Chiang - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
Biophysical protein-protein interactions perform dominant roles in the initiation and
progression of many cancer-related pathways. A protein-protein interaction might play …

Tools for protein-protein interaction network analysis in cancer research

R Sanz-Pamplona, A Berenguer, X Sole… - Clinical and …, 2012 - Springer
As cancer is a complex disease, the representation of a malignant cell as a protein-protein
interaction network (PPIN) and its subsequent analysis can provide insight into the …

[HTML][HTML] Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma

C Li, J Xu - Scientific reports, 2019 - nature.com
This study aimed to select the feature genes of hepatocellular carcinoma (HCC) with the
Fisher score algorithm and to identify hub genes with the Maximal Clique Centrality (MCC) …

Pathway network analysis of complex diseases based on multiple biological networks

F Zheng, L Wei, L Zhao, FC Ni - BioMed Research International, 2018 - Wiley Online Library
Biological pathways play important roles in the development of complex diseases, such as
cancers, which are multifactorial complex diseases that are usually caused by multiple …

[HTML][HTML] A human functional protein interaction network and its application to cancer data analysis

G Wu, X Feng, L Stein - Genome biology, 2010 - Springer
Background One challenge facing biologists is to tease out useful information from massive
data sets for further analysis. A pathway-based analysis may shed light by projecting …

[HTML][HTML] Identifying key genes and screening therapeutic agents associated with diabetes mellitus and HCV-related hepatocellular carcinoma by bioinformatics …

M Sufyan, UA Ashfaq, S Ahmad, F Noor… - Saudi Journal of …, 2021 - Elsevier
Abstract Objective Incidence of both Type 2 diabetes mellitus (T2DM) and hepatocellular
carcinoma (HCC) are rapidly increasing worldwide. One of the leading causes of HCC is …

[HTML][HTML] Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA

C Liu, Q Dai, Q Ding, M Wei, X Kong - Infectious Agents and Cancer, 2021 - Springer
Abstract Chronic Infection of Hepatitis B virus (HBV) is one risk factor of hepatocellular
carcinoma (HCC). Much effort has been made to research the process of HBV-associated …

Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks

M Li, Q Li, GU Ganegoda, JX Wang, FX Wu… - Science China Life …, 2014 - Springer
Identification of disease-causing genes among a large number of candidates is a
fundamental challenge in human disease studies. However, it is still time-consuming and …

[HTML][HTML] Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysis

Q Zhao, Y Zhang, S Shao, Y Sun, Z Lin - PeerJ, 2021 - peerj.com
Background Hepatocellular carcinoma (HCC), the main type of liver cancer in human, is one
of the most prevalent and deadly malignancies in the world. The present study aimed to …