Jian-Yu Shi

发表

Local Phase Quantization Texture Descriptor for Protein Classification

Loris Nanni, Alessandra Lumini, Sheryl Brahnam, 2010, BIOCOMP.

Predicting Drug-Target Interactions via Within-Score and Between-Score

Hui Yu, Zun Liu, Jian-Yu Shi, 2015, BioMed research international.

Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization

Siu-Ming Yiu, Hui Yu, Jian-Yu Shi, 2019, Journal of Cheminformatics.

A unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization

Jian-Yu Shi, Siu-Ming Yiu, Shao-Wu Zhang, 2018, BMC Systems Biology.

An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence

Jian-Yu Shi, Siu-Ming Yiu, Shao-Wu Zhang, 2018, Scientific Reports.

Additional file 2: of A unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization

Siu-Ming Yiu, Jian-Yu Shi, Kui-Tao Mao, 2018 .

Using hierarchical hidden Markov models to perform sequence-based classification of protein structure

Yan-Ning Zhang, Jian-Yu Shi, 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

DPDDI: a deep predictor for drug-drug interactions

Jian-Yu Shi, Shao-Wu Zhang, Yue-Hua Feng, 2020, BMC Bioinform..

Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization

Siu-Ming Yiu, Hui Yu, Kai Dong, 2018, BMC Systems Biology.

Predicting combinative drug pairs via multiple classifier system with positive samples only

Siu-Ming Yiu, Jian-Yu Shi, Hui-Meng Lu, 2019, Comput. Methods Programs Biomed..

Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features

Siu-Ming Yiu, Ke Gao, Jian-Yu Shi, 2017, BMC Bioinformatics.

Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression

Jian-Yu Shi, Siu-Ming Yiu, Yan-Ning Zhang, 2017, BMC Medical Genomics.

Additional file 1: of A unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization

Siu-Ming Yiu, Jian-Yu Shi, Kui-Tao Mao, 2018 .

Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering.

Jian-Yu Shi, Siu-Ming Yiu, Yiming Li, 2015, Methods.

Inferring Interactions between Novel Drugs and Novel Targets via Instance-Neighborhood-Based Models.

Jian-Yu Shi, Jia-Xin Li, Yong Zhang, 2018, Current protein & peptide science.

TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs

Siu-Ming Yiu, Kai Dong, Jian-Yu Shi, 2018, BMC Bioinformatics.

MTDDI: a graph convolutional network framework for predicting Multi-Type Drug-Drug Interactions

Jian-Yu Shi, Shao-Wu Zhang, YueHua Feng, 2021 .