Liang-Yong Xia

Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.

Yong Liang, Ziyi Yang, L. Xia, 2020, Pharmacological research.

Descriptor Selection Improvements for Quantitative Structure-Activity Relationships

Zehong Cao, Liang-Yong Xia, Yong Liang, 2019, Int. J. Neural Syst..

QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum pdf

Liang-Yong Xia, Qing-Yong Wang, L. Xia, 2018, ArXiv.

Descriptor Selection via Self-Paced Learning for Bioactivity of Molecular Structure in QSAR Classification

Liang-Yong Xia, Yong Liang, Qing-Yong Wang, 2018 .

Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure

Yong Liang, Liang-Yong Xia, De-Yu Meng, 2017, International journal of molecular sciences.

Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning

Rui Miao, Liang-Yong Xia, Hai-Hui Huang, 2019, Scientific Reports.

Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification

Yun Zhou, Hua Chai, Liang-Yong Xia, 2018, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters

Yong Liang, Hua Chai, Wei Qu, 2019, Soft Comput..

A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters

Yong Liang, Sheng-Bing Wu, Hua Chai, 2019, Soft Computing.

Meta-Analysis Based on Nonconvex Regularization

Hui Zhang, Yong Liang, Hai Zhang, 2020, Scientific Reports.

Identification of 13 blood-based gene expression signatures to accurately distinguish tuberculosis from other pulmonary diseases and healthy controls.

Yong Liang, Xiao-Ying Liu, Hua Chai, 2015, Bio-medical materials and engineering.

Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's Disease

Hui Huang, L. Xia, Lihong Tang, 2022, Frontiers in Aging Neuroscience.

Identifying and Ranking Potential Driver Genes of Alzheimer's Disease Using Weighted Co-Expression Network Analysis

Hui Huang, L. Xia, Jie Luo, 2021 .

Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model.

Hua Chai, Hai-Hui Huang, H. Jiang, 2016, Genetics and molecular research : GMR.