[HTML][HTML] Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach

W Zhang, F Sun, R Jiang - BMC bioinformatics, 2011 - Springer
Background The identification of genes responsible for human inherited diseases is one of
the most challenging tasks in human genetics. Recent studies based on phenotype similarity …

[HTML][HTML] Hub genes and key pathways of non‑small lung cancer identified using bioinformatics

Q Tang, H Zhang, M Kong, X Mao… - Oncology …, 2018 - spandidos-publications.com
Non‑small cell lung cancer (NSCLC) is the most common type of lung cancer, accounting
for~ 80% of all lung cancer cases. The aim of the present study was to identify key genes …

Applying NGS data to find evolutionary network biomarkers from the early and late stages of hepatocellular carcinoma

YH Wong, CC Wu, CL Lin, TS Chen… - BioMed Research …, 2015 - Wiley Online Library
Hepatocellular carcinoma (HCC) is a major liver tumor (~ 80%), besides hepatoblastomas,
angiosarcomas, and cholangiocarcinomas. In this study, we used a systems biology …

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 …

Application of the shortest path algorithm for the discovery of breast cancer-related genes

L Chen, Z Hao Xing, T Huang, Y Shu… - Current …, 2016 - ingentaconnect.com
Breast cancer, the most prevalent cancer in women, develops from breast tissue. Its
incidence has increased in recent years due to environmental risk factors. Thus, it is urgent …

Disease-pathway association prediction based on random walks with restart and PageRank

A Ghulam, X Lei, M Guo, C Bian - IEEE Access, 2020 - ieeexplore.ieee.org
The study of disease-pathway association in human diseases is a perennial focus of the
biomedical field. The association of diseases and pathways can help in the discovery of the …

Feature classification and analysis of lung cancer related genes through gene ontology and KEGG pathways

Y Zhou, B Li, Y Zhang, L Chen, X Kong - Current Bioinformatics, 2016 - ingentaconnect.com
Characterization of cancer related genes is important and challenging in both biomedicine
and computational biology. As one of the leading causes of cancer mortality worldwide, lung …

Identification of feature genes for smoking-related lung adenocarcinoma based on gene expression profile data

Y Liu, R Ni, H Zhang, L Miao, J Wang, W Jia… - OncoTargets and …, 2016 - Taylor & Francis
This study aimed to identify the genes and pathways associated with smoking-related lung
adenocarcinoma. Three lung adenocarcinoma associated datasets (GSE43458, GSE10072 …

Identification of key biomarkers and candidate molecules in non-small-cell lung cancer by integrated bioinformatics analysis

L Yu, X Liang, J Wang, G Ding, J Tang, J Xue… - Genetics …, 2023 - cambridge.org
Background. Non-small cell lung cancer (NSCLC) is the most prevalent malignant tumor of
the lung cancer, for which the molecular mechanisms remain unknown. In this study, we …

[HTML][HTML] Identification of candidate biomarkers correlated with the pathogenesis and prognosis of non-small cell lung cancer via integrated bioinformatics analysis

M Ni, X Liu, J Wu, D Zhang, J Tian, T Wang, S Liu… - Frontiers in …, 2018 - frontiersin.org
Background and Objective: Non-small cell lung cancer (NSCLC) accounts for 80–85% of all
patients with lung cancer and 5-year relative overall survival (OS) rate is less than 20%, so …