Author

Wangyang Zuo

Zhejiang University of TechnologyORCID 0000-0001-8887-2409Unclaimed 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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Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Hongzhi WeniD· 2 shared Jiayuan DingiD· 2 shared Jiliang TangiD· 2 shared Julian VenegasiD· 2 shared Qiaolin LuiD· 2 shared Renming LiuiD· 2 shared Wei JiniD· 2 shared Wenzhuo TangiD· 2 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Hongzhi WenORCID

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2 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedMar 19, 2024

DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis

Jiayuan Ding, Renming Liu, Hongzhi Wen…·Jiliang Tang

DANCE provides a benchmark platform for single-cell analysis with 32 methods across 21 datasets, enabling easy reproduction and development of deep learning models.

15 citations

scRNA-seqdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 11, 2023

SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology

Jiayuan Ding, Julian Venegas, Qiaolin Lu…·Jiliang Tang

The paper introduces a large-scale spatial transcriptomic dataset and a Graph Neural Network-based method for cell type deconvolution in human immuno-oncology.

5 citations

humanspatial transcriptomics

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