Author

Jinghao Peng

Northwestern Polytechnical UniversityORCID 0000-0001-5481-784XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Assay:Hi-C· 1 Approach:matrix factorization· 1 Organism:mouse· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Jiajie PengiD· 2 shared Jianye HaoiD· 2 shared Lu HaniD· 2 shared Tao WangiD· 2 shared Xuequn ShangiD· 2 shared Zhongyu WeiiD· 2 shared Caiwei ZheniD· 1 shared Jingyi LiiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Jiajie PengORCID

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2 papers

Recent·Most cited

A Deep Learning-based Genome-wide Polygenic Risk Score for Common Diseases Identifies Individuals with Risk

Jiajie Peng, Jingyi Li, Ruijiang Han, Yuxian Wang, Lu Han, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei

This paper introduces DeepPRS, a deep learning-based polygenic risk score model that outperforms existing methods in predicting risk for common diseases using genome-wide genotype data.

medRxiv · Nov 17, 2021 · PreprintGenetic & Genomic Medicine

A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction

Caiwei Zhen, Yuxian Wang, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Jiajie Peng

This paper introduces ScHiC-Rep, a framework for single-cell Hi-C clustering that improves imputation and feature extraction, outperforming existing methods on human and mouse datasets.

bioRxiv · Apr 30, 2021 · PreprintBioinformatics