Author
Jinzhou Yuan
Columbia University Irving Medical CenterORCID 0000-0002-0001-6008Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2016-2020 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 28 mutual co-author links6 papers
Recent·Most cited
- BioinformaticsGigaSciencePeer-reviewed
A MAP of tumor-host interactions in glioma at single cell resolution
Francesca Pia Caruso, Luciano Garofano, Fulvio D’Angelo…·Michele Ceccarelli
The paper introduces scTHI, a method to identify ligand-receptor interactions in glioma using single-cell RNA sequencing data from six human datasets.
- NeuroscienceCell ReportsPeer-reviewed
Single-cell profiling and SCOPE-seq reveal the lineage dynamics of adult neurogenesis and NOTUM as a key V-SVZ regulator
Doğukan Mizrak, Nermin Sumru Bayin, Jinzhou Yuan…·Peter A. Sims
The paper uses scRNA-seq and SCOPE-seq to study adult neurogenesis, identifying NOTUM as a key regulator of V-SVZ NSC differentiation and neurogenesis.
- Systems BiologyMolecular Systems BiologyPeer-reviewed
De novo Gene Signature Identification from Single-Cell RNA-Seq with Hierarchical Poisson Factorization
Hanna Mendes Levitin, Jinzhou Yuan, Yim Ling Cheng…·Peter A. Sims
This paper introduces scHPF, a Bayesian method for discovering gene signatures from scRNA-seq without prior normalization, and finds spatially biased expression patterns in glioma regions linked to poor survival.
- Systems BiologybioRxivPreprint
An Optically Decodable Bead Array for Linking Imaging and Sequencing with Single-Cell Resolution
Jinzhou Yuan, Jenny Sheng, Peter A. Sims
The paper introduces SCOPE-Seq, a method that links live cell imaging to single-cell RNA-Seq using optically decodable beads and microfluidics.
3 citations - GenomicsScientific ReportsPeer-reviewed
An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq
The paper describes an automated microwell platform for single-cell RNA-Seq, demonstrating improved cell capture efficiency and cross-contamination control, and applies it to study gene expression heterogeneity in glioma neurospheres.