Author

Zhucheng Zhan

Chinese University of Hong Kong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bing HeiD· 1 shared Eun-Young Karen ChoiiD· 1 shared Lana Xia GarmireiD· 1 shared Maria A. WesterhoffiD· 1 shared Noshad HosseiniiD· 1 shared Zheng JingiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Bing HeORCID

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1 paper

Recent·Most cited

Two-stage biologically interpretable neural-network models for liver cancer prognosis prediction using histopathology and transcriptomic data

Zhucheng Zhan, Zheng Jing, Bing He, Noshad Hosseini, Maria A. Westerhoff, Eun-Young Karen Choi, Lana Xia Garmire

The paper develops a two-stage neural network model for liver cancer prognosis using histopathology and transcriptomic data, showing improved accuracy compared to existing methods.

NAR Genomics and Bioinformatics · Jan 6, 2021Peer-reviewedGenetic & Genomic Medicine