Author

Gongxin Peng

Chinese Academy of Medical Sciences & Peking Union Medical College

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Jielong Zhou· 1 shared Kaiyang Cheng· 1 shared Lanying WeiiD· 1 shared Mengchen PuiD· 1 shared Qihong Tang· 1 shared Sutong Jin· 1 shared Weisheng ZhengiD· 1 shared Xiaorong LiiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Jielong Zhou

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2 papers

Recent·Most cited

Using graph-based model to identify cell specific synthetic lethal effects

Mengchen Pu, Kaiyang Cheng, Xiaorong Li, Yucui Xin, Lanying Wei, Sutong Jin, Weisheng Zheng, Gongxin Peng, Qihong Tang, Jielong Zhou, Yingsheng Zhang

This paper introduces a deep learning model using graph-based representation to predict cell-specific synthetic lethal gene pairs, enhancing cancer precision medicine.

Computational and Structural Biotechnology Journal · Jan 1, 2023Peer-reviewedBioinformatics

SCSA: a cell type annotation tool for single-cell RNA-seq data

Yinghao Cao, Xiaoyue Wang, Gongxin Peng

SCSA automatically annotates cell types in scRNA-seq data using a score model combining DEGs and marker confidence, achieving high precision in real datasets.

Frontiers in Genetics · May 12, 2020Peer-reviewedBioinformatics