Peiran Jiang

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 4

Top Topics

Induced Pluripotent Stem Cells

Respiratory Syndrome Coronavirus

Convolutional Neural Network

Top Venues

Briefings in bioinformatics

Nature biomedical engineering

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

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 in bioinformatics 24 (2) (2023)
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 in bioinformatics (2023)
Yaping Guo, Wan-Shan Ning, Peiran Jiang, Shaofeng Lin, Chenwei Wang, Xiaodan Tan, Lan Yao, Di Peng, Yang Xu
GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains. Cells 9 (5) (2020)
Wan-Shan Ning, Shijun Lei, Jingjing Yang, Yukun Cao, Peiran Jiang, Qianqian Yang, Jiao Zhang, Xiaobei Wang, Fenghua Chen, Zhi Geng, Liang Xiong, Hongmei Zhou, Yaping Guo, Yulan Zeng, Heshui Shi, Lin Wang, Yang Xu, Zheng Wang
Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning. Nature biomedical engineering 4 (12) (2020)