Hai-Hui Huang

发表

Robust sparse accelerated failure time model for survival analysis

Yong Liang, Hai-wei Shen, Hua Chai, 2018, Technology and health care : official journal of the European Society for Engineering and Medicine.

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.

Clinical Drug Response Prediction by Using a Lq Penalized Network-Constrained Logistic Regression Method

Yong Liang, Hai-Hui Huang, Jingguo Dai, 2018, Cellular Physiology and Biochemistry.

Reply to ‘Trace N-glycans including sulphated species may originate from various plasma glycoproteins and not necessarily IgG’

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2018, Nature Communications.

A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression

Hai-Hui Huang, Rui Miao, Yong Liang, 2022, BMC Bioinformatics.

Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies

Hai-Hui Huang, Rui Miao, Qihang Dang, 2022, Medical & Biological Engineering & Computing.

Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations

Hua Chai, Yong Liang, Xu-Xin Lin, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

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

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

A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis

Yong Liang, HaiHui Huang, Yong Liang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Feature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L1/2 +2 Regularization

Xiao-Ying Liu, Yong Liang, Hai-Hui Huang, 2016, PloS one.

A Genotype-Based Ensemble Classifier System for Non-Small-Cell Lung Cancer

Hui Zhang, Yong Liang, Zi-Yi Yang, 2020, IEEE Access.

A method to identify trace sulfated IgG N-glycans as biomarkers for rheumatoid arthritis

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2017, Nature Communications.

A method to identify trace sulfated IgG N-glycans as biomarkers for rheumatoid arthritis

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2017, Nature Communications.

An integrative analysis system of gene expression using self-paced learning and SCAD-Net

Hai-Hui Huang, Yong Liang, Yong Liang, 2019, Expert Syst. Appl..

Reply to ‘Trace N-glycans including sulphated species may originate from various plasma glycoproteins and not necessarily IgG’

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2018, Nature Communications.

Integrating molecular interactions and gene expression to identify biomarkers and network modules of chronic obstructive pulmonary disease

Hai-Hui Huang, Yong Liang, 2022, Technology and health care : official journal of the European Society for Engineering and Medicine.

Cancer classification and biomarker selection via a penalized logsum network-based logistic regression model

Yong Liang, Zhiming Zhou, Hai-Hui Huang, 2021, Technology and health care : official journal of the European Society for Engineering and Medicine.

SPLSN: An efficient tool for survival analysis and biomarker selection

Yong Liang, Hai-Hui Huang, Xindong Peng, 2021, Int. J. Intell. Syst..

Integrating molecular interactions and gene expression to identify biomarkers to predict response to tumor necrosis factor inhibitor therapies in rheumatoid arthritis patients

Hai-Hui Huang, Min-Fan He, Yong Liang, 2022, Technology and health care : official journal of the European Society for Engineering and Medicine.

Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI

Hua Chai, Yong Liang, Xu-Xin Lin, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Hybrid L1/2  + 2 method for gene selection in the Cox proportional hazards model.

Yong Liang, Hai-Hui Huang, Yong Liang, 2018, Computer methods and programs in biomedicine.

MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification

Hai-Hui Huang, Yong Liang, Jun Shu, 2024, IEEE Journal of Biomedical and Health Informatics.

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.

Network-Based Logistic Classification with an Enhanced L 1/2 Solver Reveals Biomarker and Subnetwork Signatures for Diagnosing Lung Cancer

Xiao-Ying Liu, Yong Liang, Hai-Hui Huang, 2015, BioMed research international.