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 …
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
Detection and diagnosis of cancer are especially important for early prevention and effective
treatments. Traditional methods of cancer detection are usually time-consuming and …
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 …
classification scheme. This system comprises five levels and includes several classes in …
Integrated multiplex network based approach for hub gene identification in oral cancer
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 …
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
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 …
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 …
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
Extensive studies on tumor suppressor genes (TSGs) are helpful to understand the
pathogenesis of cancer and design effective treatments. However, identifying TSGs using …
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
Epigenetic regulation has long been recognized as a significant factor in various biological
processes, such as development, transcriptional regulation, spermatogenesis, and …
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
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 …
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 …
has not yet to be fully described, thereby impeding the development of effective treatments …