Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer

M Sheng, Z Dong, Y Xie - OncoTargets and therapy, 2018 - Taylor & Francis
Background Lung cancer is a severe cancer with a high death rate. The 5-year survival rate
for stage III lung cancer is much lower than stage I. Early detection and intervention of lung …

[HTML][HTML] Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets

YH Zhang, T Huang, L Chen, YC Xu, Y Hu, LD Hu… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Detection and diagnosis of cancer are especially important for early prevention and effective
treatments. Traditional methods of cancer detection are usually time-consuming and …

[HTML][HTML] Inferring anatomical therapeutic chemical (ATC) class of drugs using shortest path and random walk with restart algorithms

L Chen, T Liu, X Zhao - Biochimica et Biophysica Acta (BBA)-Molecular …, 2018 - Elsevier
The anatomical therapeutic chemical (ATC) classification system is a widely accepted drug
classification scheme. This system comprises five levels and includes several classes in …

Integrated multiplex network based approach for hub gene identification in oral cancer

S Mahapatra, R Bhuyan, J Das, T Swarnkar - Heliyon, 2021 - cell.com
Abstract Background: The incidence of Oral Cancer (OC) is high in Asian countries, which
goes undetected at its early stage. The study of genetics, especially genetic networks holds …

A network-based method using a random walk with restart algorithm and screening tests to identify novel genes associated with Menière's disease

L Li, YS Wang, L An, XY Kong, T Huang - PLoS One, 2017 - journals.plos.org
As a chronic illness derived from hair cells of the inner ear, Menière's disease (MD)
negatively influences the quality of life of individuals and leads to a number of symptoms …

A binary classifier for the prediction of EC numbers of enzymes

H Cui, L Chen - Current Proteomics, 2019 - ingentaconnect.com
Background: Identification of Enzyme Commission (EC) number of enzymes is quite
important for understanding the metabolic processes that produce enough energy to sustain …

Inferring novel tumor suppressor genes with a protein-protein interaction network and network diffusion algorithms

L Chen, YH Zhang, Z Zhang, T Huang… - … Therapy Methods & …, 2018 - cell.com
Extensive studies on tumor suppressor genes (TSGs) are helpful to understand the
pathogenesis of cancer and design effective treatments. However, identifying TSGs using …

A computational method using the random walk with restart algorithm for identifying novel epigenetic factors

JR Li, L Chen, SP Wang, YH Zhang, XY Kong… - Molecular genetics and …, 2018 - Springer
Epigenetic regulation has long been recognized as a significant factor in various biological
processes, such as development, transcriptional regulation, spermatogenesis, and …

[HTML][HTML] Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein–protein interaction network

J Zhang, Y Suo, M Liu, X Xu - … et Biophysica Acta (BBA)-Molecular Basis of …, 2018 - Elsevier
Proliferative diabetic retinopathy (PDR) is one of the most common complications of
diabetes and can lead to blindness. Proteomic studies have provided insight into the …

[HTML][HTML] Prediction of potential drivers connecting different dysfunctional levels in lung adenocarcinoma via a protein–protein interaction network

F Yuan, WC Lu - Biochimica et Biophysica Acta (BBA)-Molecular Basis …, 2018 - Elsevier
Lung cancer is a serious disease that threatens an affected individual's life. Its pathogenesis
has not yet to be fully described, thereby impeding the development of effective treatments …