Peiran Jiang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 6

Top Topics

Machine Learning Models

Tag Recommendation

Tensor Factorization

Dynamic Analysis

Top Venues

Briefings Bioinform.

Genom. Proteom. Bioinform.

Nucleic Acids Res.

Publications

Peiran Jiang, Ruoxi Cai, Jose Lugo-Martinez, Yaping Guo
A hybrid positive unlabeled learning framework for uncovering scaffolds across human proteome by measuring the propensity to drive phase separation. Briefings Bioinform. 24 (2) (2023)
Peiran Jiang, Ying Chi, Xiao-Shuang Li, Xiang Liu, Xian-Sheng Hua, Kelin Xia
Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design. Briefings Bioinform. 23 (1) (2022)
Wanshan Ning, Peiran Jiang, Yaping Guo, Chenwei Wang, Xiaodan Tan, Weizhi Zhang, Di Peng, Yu Xue
GPS-Palm: a deep learning-based graphic presentation system for the prediction of S-palmitoylation sites in proteins. Briefings Bioinform. 22 (2) (2021)
Wanshan Ning, Hao-Dong Xu, Peiran Jiang, Han Cheng, Wankun Deng, Yaping Guo, Yu Xue
HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction. Genom. Proteom. Bioinform. 18 (2) (2020)
Zexuan Sun, Shujun Huang, Peiran Jiang, Pingzhao Hu, Zhiyong Lu
DTF: Deep Tensor Factorization for predicting anticancer drug synergy. Bioinform. 36 (16) (2020)
Wanshan Ning, Yaping Guo, Shaofeng Lin, Bin Mei, Yu Wu, Peiran Jiang, Xiaodan Tan, Weizhi Zhang, Guowei Chen, Di Peng, Liang Chu
DrLLPS: a data resource of liquid?liquid phase separation in eukaryotes. Nucleic Acids Res. 48 (Database-Issue) (2020)
Peiran Jiang, Liquan Wang, Xichun Luo
Dynamic analysis of an underwater leveling-gripping system of an jacket platform under offshore environmental loads. ICAC (2015)