Author

Qing Zhang

Bioinformatics Solutions (Canada)ORCID 0000-0002-5652-4036Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Qing Zhang4 papers · Harold C. Simmons Comprehensive Cancer Center

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Baozhen ShaniD· 2 shared Lei XiniD· 2 shared Ngoc Hieu TraniD· 2 shared Rui QiaoiD· 2 shared Chao PengiD· 1 shared Chungong YuiD· 1 shared Dongbo BuiD· 1 shared Haicang ZhangiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Baozhen ShanORCID

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2 papers

Recent·Most cited

NovoBoard: a comprehensive framework for evaluating the false discovery rate and accuracy of de novo peptide sequencing

Ngoc Hieu Tran, Rui Qiao, Zeping Mao, Shengying Pan, Qing Zhang, Wenting Li, Lei Xin, Ming Li, Baozhen Shan

NovoBoard evaluates de novo peptide sequencing methods using benchmark datasets and FDR estimation to assess accuracy and significance of peptide-spectrum matches.

Molecular & Cellular Proteomics · Sep 23, 2024Peer-reviewedBioinformatics

Discovering and Validating Neoantigens by Mass Spectrometry-based Immunopeptidomics and Deep Learning

Ngoc Hieu Tran, Chao Peng, Qingyang Lei, Lei Xin, Jingxiang Lang, Qing Zhang, Wenting Li, Haofei Miao, Ping Wu, Rui Qiao, Haiming Qin, Dongbo Bu, Haicang Zhang, Chungong Yu, Xiaolong Liu, , Ming Li

This study introduces DeepNovo Peptidome and DeepSelf for neoantigen discovery and validation using immunopeptidomics and deep learning, demonstrating their application in cervical cancer tissues.

bioRxiv · Jul 5, 2022 · PreprintBioinformatics