Author

Yao Gong

University of MinnesotaORCID 0009-0008-5258-5086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Yue CheniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedFeb 1, 2022

UbE3-APA: A Bioinformatic Strategy to Elucidate Ubiquitin E3 Ligase Activities in Quantitative Proteomics Study

Yao Gong, Yue Chen

The paper introduces a computational tool to analyze ubiquitin E3 ligase activity using quantitative proteomics data and validates it with experimental results.

6 citations

proteomicsstatistical model

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