[HTML][HTML] Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach
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 …
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 …
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 …
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
Biophysical protein-protein interactions perform dominant roles in the initiation and
progression of many cancer-related pathways. A protein-protein interaction might play …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
patients with lung cancer and 5-year relative overall survival (OS) rate is less than 20%, so …