Author

Qingzu He

Xiamen University

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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Approach:deep learning· 2 Assay:proteomics· 2 Research Focus:dimensionality reduction· 1 Organism:multiple species· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Chuan‐Qi ZhongiD· 2 shared Jiahuai HaniD· 2 shared Jianwei ShuaiiD· 2 shared Mingxuan GaoiD· 2 shared Rongshan YuiD· 2 shared Chenxin LiiD· 1 shared Donghui GuoiD· 1 shared Fangfei ZhangiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Chuan‐Qi ZhongORCID

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2 papers

Recent·Most cited

Dear-DIAXMBD: deep autoencoder for data-independent acquisition proteomics

Qingzu He, Chuan‐Qi Zhong, Xiang Li, Huan Guo, Yiming Li, Mingxuan Gao, Rongshan Yu, Xianming Liu, Fangfei Zhang, Tiannan Guo, Donghui Guo, Fangfu Ye, Jianwei Shuai, Jiahuai Han

Dear-DIAXMBD is a deep autoencoder method for analyzing DIA proteomics data, achieving superior performance across different species and instrument platforms.

bioRxiv · Aug 27, 2022 · PreprintBioinformatics

DreamDIA-XMBD: deep representation features improve the analysis of data-independent acquisition proteomics

Mingxuan Gao, Wenxian Yang, Chenxin Li, Yuqing Chang, Yachen Liu, Shun Wang, Qingzu He, Chuan‐Qi Zhong, Jianwei Shuai, Rongshan Yu, Jiahuai Han

DreamDIA-XMBD improves DIA proteomics analysis by using deep representation features for better identification and quantification than existing methods.

Communications Biology · Oct 14, 2021Peer-reviewedBioinformatics