Author

Jian Ouyang

Shanghai Academy of Science & TechnologyORCID 0000-0002-7851-7064Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:proteomics· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Lu XieiD· 2 shared Xiaoxiu Tan· 2 shared Yuyu LiiD· 2 shared Guangzhi WangiD· 1 shared Guangzhi WangiD· 1 shared Huihui Wan· 1 shared Lanming CheniD· 1 shared Menghuan ZhangiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Lu XieORCID

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2 papers

Recent·Most cited

BioinformaticsBMC Medical GenomicsPeer-reviewedApr 1, 2020

ProGeo-neo: a Customized Proteogenomic Workflow for Neoantigen Prediction and Selection

Yuyu Li, Guangzhi Wang, Xiaoxiu Tan…·Lu Xie

ProGeo-neo integrates genomic and proteomic data to improve neoantigen prediction by incorporating mass spectrometry validation and MHC binding prediction.

29 citations

humanwhole-exome sequencing

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BioinformaticsBioMed Research InternationalPeer-reviewedJan 1, 2020

INeo-Epp: A novel T-cell HLA class-I immunogenicity or neoantigenic epitope prediction method based on sequence related amino acid features

Guangzhi Wang, Huihui Wan, Xingxing Jian…·Lu Xie

The paper introduces INeo-Epp, a method for predicting T-cell HLA class-I immunogenic epitopes and neoantigens using sequence-related amino acid features, achieving AUC scores of 0.81 and 0.78.

46 citations

humanproteomics

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