Wei Wang

According to our database, Wei Wang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.

Wei Wang, MengXue Yu, Bin Sun, Juntao Li, Dong Liu, Hongjun Zhang, Xianfang Wang, Yun Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling.

Wei Wang, Zhenxi Sun, Dong Liu, Hongjun Zhang, Juntao Li, Xian-Fang Wang, Yun Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023

GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network.

Wei Wang, Bin Sun, MengXue Yu, ShiYu Wu, Dong Liu, Hongjun Zhang, Yun Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

MLadder: An Online Training System for Machine Learning and Data Science Education.

Siqi Han, Wanting Li, En Zhang, Jilin Shi, Wei Wang, Xuesong Lu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DeepGenBind: a novel deep learning model for predicting transcription factor binding sites.

Wei Wang, Xiaolin Jiao, Bin Sun, Shihao Liang, Xianfang Wang, Yun Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

DPLA: prediction of protein-ligand binding affinity by integrating multi-level information.

Wei Wang, Bin Sun, Dong Liu, Xianfang Wang, Hongjun Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications.

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Baofang Chang

Entropy, 2020

Predicting DNA binding protein-drug interactions based on network similarity.

Wei Wang, Hehe Lv, Yuan Zhao

BMC Bioinform., 2020

2019

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data.

Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang

J. Intell. Fuzzy Syst., 2019

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction.

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Chuan Wang, Wentao Mao

Entropy, 2019

SmoPSI: Analysis and Prediction of Small Molecule Binding Sites Based on Protein Sequence Information.

Wei Wang, Keliang Li, Hehe Lv, Hongjun Zhang, Shixun Wang, Junwei Huang

Comput. Math. Methods Medicine, 2019

InPrNa: A Tool for Insight Into Protein-Nucleic Acids Interaction Information.

Wei Wang, Yuan Zhao, Hongjun Zhang, Shiguang Zhang, Keliang Li, Hehe Lv

IEEE Access, 2019

Analyzing the Surface Structure of the Binding Domain on DNA and RNA Binding Proteins.

Wei Wang, Keliang Li, Hehe Lv, Hongjun Zhang, Shiguang Zhang, Yun Zhou, Junwei Huang

IEEE Access, 2019

2018

A VQ-Based Joint Fingerprinting and Decryption Scheme for Secure and Efficient Image Distribution.

Ming Li, Hua Ren, En Zhang, Wei Wang, Lin Sun, Di Xiao

Secur. Commun. Networks, 2018

An Algorithm for Describing the Convex and Concave Shape of Protein Surface.

Wei Wang, Keliang Li, Hehe Lv, Lin Sun, Hongjun Zhang, Jinling Shi, Shiguang Zhang, Yun Zhou, Yuan Zhao, Jingjing Xv

Proceedings of the Data Science, 2018

2017

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.

Wei Wang, Lin Sun, Shiguang Zhang, Hongjun Zhang, Jinling Shi, Tianhe Xu, Keliang Li

BMC Bioinform., 2017