Yan Zhao

发表

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square

Yan Zhao, Xing Chen, Jun Yin, 2018, Front. Genet..

Intensity-based protein identification by machine learning from a library of tandem mass spectra

Yan Zhao, 2010 .

Deep-belief network for predicting potential miRNA-disease associations.

Yan Zhao, Xing Chen, Chun-Chun Wang, 2021, Briefings in bioinformatics.

ELLPMDA: Ensemble learning and link prediction for miRNA-disease association prediction

Yan Zhao, Xing Chen, Zhihan Zhou, 2018, RNA biology.

Drug-pathway association prediction: from experimental results to computational models

Xing Chen, Yan Zhao, Chun-Chun Wang, 2020, Briefings Bioinform..

Drug repositioning: a machine-learning approach through data integration

Yan Zhao, Francesco Napolitano, Juha Kere, 2013, Journal of Cheminformatics.

Prediction of Small Molecule-MicroRNA Associations by Sparse Learning and Heterogeneous Graph Inference.

Xing Chen, Ya-Zhou Sun, Jun Yin, 2019, Molecular pharmaceutics.

Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization

Xing Chen, Chun-Chun Wang, Yan Zhao, 2021, Briefings Bioinform..

Prediction of potential miRNA-disease associations using matrix decomposition and label propagation

Xing Chen, Jun Yin, Zheng-Wei Li, 2019, Knowl. Based Syst..

LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction

Zhu-Hong You, Yang Wang, Yan Zhao, 2019, ICIC.

Deep-belief network for predicting potential miRNA-disease associations

Xing Chen, Chun-Chun Wang, Yan Zhao, 2020, Briefings Bioinform..

Identification of miRNA-disease associations via multiple information integration with Bayesian ranking

Yan Zhao, Xing Chen, Chun-Chun Wang, 2021, Briefings Bioinform..

Adaptive boosting-based computational model for predicting potential miRNA-disease associations

Xing Chen, Yan Zhao, Jun Yin, 2019, Bioinform..

Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation

Jia Qu, Yan Zhao, Yan Zhao, 2019, Front. Microbiol..

NCMCMDA: miRNA-disease association prediction through neighborhood constraint matrix completion

Yan Zhao, Xing Chen, Lian-Gang Sun, 2020, Briefings Bioinform..

Development of a Machine Learning Classifier for Brain Tumors Diagnosis Based on DNA Methylation Profile

Yan Zhao, Junze Wu, Yixin Yan, 2021, Frontiers in Bioinformatics.

Microbes and complex diseases: from experimental results to computational models

Xing Chen, Chun-Chun Wang, Yan Zhao, 2020, Briefings Bioinform..

Human Microbe-Disease Association Prediction Based on Adaptive Boosting

Jun Yin, Yan Zhao, Liqian Zhou, 2018, Front. Microbiol..

SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association

Jun Yin, Xing Chen, Jia Qu, 2019, RNA biology.

Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization

Xing Chen, Na-Na Guan, Jianqiang Li, 2019, Molecular therapy. Nucleic acids.

In Silico Prediction of Small Molecule-miRNA Associations Based on the HeteSim Algorithm

Xing Chen, Ya-Zhou Sun, Zhu-Hong You, 2018, Molecular therapy. Nucleic acids.

Anti-cancer Drug Response Prediction Using Neighbor-Based Collaborative Filtering with Global Effect Removal

Xing Chen, Lin Zhang, Yan Zhao, 2018, Molecular therapy. Nucleic acids.

Computational Model Development of Drug-Target Interaction Prediction: A Review.

Qi Zhao, Xing Chen, Haifan Yu, 2019, Current protein & peptide science.