Author

Zhongyi Hu

Abramson Cancer CenterORCID 0000-0002-9249-9720Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Lin ZhangiD· 2 shared Bingwei WangiD· 1 shared Changhao Ge· 1 shared Ho Man ChaniD· 1 shared Hongzhe LiiD· 1 shared Janos Laszlo TanyiiD· 1 shared Jianfeng SheniD· 1 shared Jiao YuaniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Lin ZhangORCID

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2 papers

Recent·Most cited

RCANE: A Deep Learning Algorithm for Whole-genome Pan-Cancer Somatic Copy Number Aberration Prediction using RNA-seq Data

Changhao Ge, Zhongyi Hu, Lin Zhang, Hongzhe Li

RCANE predicts whole-genome somatic copy number aberrations across cancers using RNA-seq data, outperforming existing methods on TCGA and DepMap datasets.

Communications Biology · Sep 24, 2025Peer-reviewedBioinformatics

Repression of PRMT activities sensitize homologous recombination-proficient ovarian and breast cancer cells to PARP inhibitor treatment

Youyou Zhang, Mu Xu, Jiao Yuan, Zhongyi Hu, Junjie Jiang, Yanrong Sun, Jie Sheng Huang, Yuxin Wang, Bingwei Wang, Jianfeng Shen, Meixiao Long, Yi Fan, Kathleen T. Montone, Janos Laszlo Tanyi, Sarah H. Kim, , Xiaowen Hu

This study identifies PRMT inhibitors as effective combinational therapies with PARP inhibitors to sensitize HR-proficient ovarian and breast cancer cells to treatment.

eLife · Jul 17, 2024Peer-reviewedCancer Biology