Author

Zhen Zhang

Johns Hopkins UniversityORCID 0000-0001-9629-9614Unclaimed ORCID profile · follow to get notified of new preprints

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Zhen Zhang6 papers · Baylor College of Medicine

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Chenyu Xu· 1 shared Chunyu LiuiD· 1 shared David M. HerringtoniD· 1 shared Lulu CheniD· 1 shared Niya WangiD· 1 shared Robert C. ClarkeiD· 1 shared Wenfei JiniD· 1 shared Yue WangiD· 1 shared

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2018-2021 · peak 1/yr

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9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Chenyu Xu

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedOct 8, 2021

scGAE: topology-preserving dimensionality reduction for single-cell RNA-seq data using graph autoencoder

Zixiang Luo, Chenyu Xu, Zhen Zhang, Wenfei Jin

scGAE is a dimensionality reduction method for scRNA-seq data that preserves topological structure, outperforming existing methods in trajectory reconstruction and clustering.

90 citationstop 4%

scRNA-seqdeep learning

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BioinformaticsbioRxivPreprintOct 17, 2018

Unsupervised deconvolution of molecular heterogeneity uncovers novel signatures and glia-neuron ratio

Lulu Chen, Niya Wang, Chunyu Liu…·Yue Wang

The paper investigates the glia-neuron ratio in the brain using unsupervised deconvolution methods on single-cell data from human brains.

DOI 10.1101/435677

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