Author

Yu Zhang

ShanghaiTech UniversityORCID 0000-0001-8456-7335Unclaimed ORCID profile · follow to get notified of new preprints

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Yu Zhang39 papers · Chinese Academy of Sciences

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Die Qiu· 1 shared Dongliang XuiD· 1 shared Jian WangiD· 1 shared Jiaxiu LuoiD· 1 shared Kaixuan DiaoiD· 1 shared Qing XiaoiD· 1 shared Tao WuiD· 1 shared Weihao PaniD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Die Qiu

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2 papers

Recent·Most cited

Cancer BiologyCell ReportsPeer-reviewedJul 1, 2025

Precise metabolic dependencies of cancer through deep learning and validations

Tao Wu, Xiangyu Zhao, Yu Zhang…·Xuesong Liu

This study uses deep learning to predict metabolic vulnerabilities in cancer cells and validates findings using TCGA data, showing improved clinical responses to targeted therapies.

9 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 28, 2019

Integrative framework of cross-module deep biomarker for the prognosis of clear cell renal cell carcinoma: A retrospective TCGA project

Zhenyuan Ning, Weihao Pan, Qing Xiao…·Yu Zhang

The paper develops an integrative deep learning framework combining imaging and gene data to predict prognosis in ccRCC, showing improved performance over individual biomarkers.

DOI 10.1101/746818

humanbulk RNA-seq

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