Wei Peng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Genome Wide Identification

Top Venues

Health information science and systems

Briefings in bioinformatics

BMC bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Wei Peng, Zhichen He, Wei Dai, Wei Lan
MHCLMDA: multihypergraph contrastive learning for miRNA-disease association prediction. Briefings in bioinformatics 25 (1) (2024)
Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health information science and systems 12 (1) (2024)
Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health information science and systems 12 (1) (2024)
Wei Peng, Rong Wu, Wei Dai, Yu Ning, Xiaodong Fu, Li Liu, Lijun Liu
MiRNA-gene network embedding for predicting cancer driver genes. Briefings in functional genomics (2023)
Wei Peng, Hancheng Liu, Wei Dai, Ning Yu, Jian-Xin Wang
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinformatics (Oxford, England) 38 (19) (2022)
Wei Dai, Wenhao Yue, Wei Peng, Xiaodong Fu, Li Liu, Lijun Liu
Identifying Cancer Subtypes Using a Residual Graph Convolution Model on a Sample Similarity Network. Genes 13 (1) (2021)
Wei Peng, Qi Tang, Wei Dai, Tielin Chen
Improving cancer driver gene identification using multi-task learning on graph convolutional network. Briefings in bioinformatics (2021)
Junrong Song, Wei Peng, Feng Wang, Jianxin Wang
Identifying driver genes involving gene dysregulated expression, tissue-specific expression and gene-gene network. BMC medical genomics 12 (Suppl 7) (2019)
Fengyu Zhang, Wei Peng, Yunfei Yang, Wei Dai, Junrong Song
A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein⁻Protein Interactive Networks. Genes 10 (1) (2019)
Junrong Song, Wei Peng, Feng Wang
A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph. BMC bioinformatics 20 (1) (2019)