Capsule network based modeling of multi-omics data for discovery of breast cancer-related genes

C Peng, Y Zheng, DS Huang - IEEE/ACM transactions on …, 2019 - ieeexplore.ieee.org
Breast cancer is one of the most common cancers all over the world, which bring about more
than 450,000 deaths each year. Although this malignancy has been extensively studied by a …

[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 …

[HTML][HTML] 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 …

Cholesterol‐conjugated bovine serum albumin nanoparticles as a tamoxifen tumor‐targeted delivery system

M Gharbavi, B Johari, SS Eslami… - Cell Biology …, 2020 - Wiley Online Library
In the present study, we introduced cholesterol (CLO)‐conjugated bovine serum albumin
nanoparticles (BSA NPs) as a new system for indirect targeting drug delivery. Tamoxifen, as …

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 …

[HTML][HTML] 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 …

Analysis of key GO terms and KEGG pathways associated with carcinogenic chemicals

J Ding, Y Zhang - Combinatorial chemistry & high throughput …, 2017 - ingentaconnect.com
Aim and Objective: Cancer is one of the serious diseases that cause several human deaths
every year. Up to now, we have spent lots of time and money to investigate this disease …

Identification of candidate genes related to inflammatory bowel disease using minimum redundancy maximum relevance, incremental feature selection, and the …

F Yuan, YH Zhang, XY Kong… - BioMed Research …, 2017 - Wiley Online Library
Identification of disease genes is a hot topic in biomedicine and genomics. However, it is a
challenging problem because of the complexity of diseases. Inflammatory bowel disease …

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] Network-based method for mining novel HPV infection related genes using random walk with restart algorithm

L Zhu, F Su, YC Xu, Q Zou - … et Biophysica Acta (BBA)-Molecular Basis of …, 2018 - Elsevier
The human papillomavirus (HPV), a common virus that infects the reproductive tract, may
lead to malignant changes within the infection area in certain cases and is directly …