Author

Chong Jin

University of North Carolina at Chapel HillORCID 0000-0003-4863-3328Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Wei SuniD· 2 shared Ashley B. MorrisoniD· 1 shared Danyu Y. LiniD· 1 shared Douglas R. Wilson· 1 shared Emily C. SheniD· 1 shared Jack R. LearyiD· 1 shared Jen Jen YehiD· 1 shared Joseph G. IbrahimiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Wei SunORCID

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3 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 27, 2023

Sub-Cluster Identification through Semi-SupervisedOptimization of Rare-cell Silhouettes (SCISSORS) in Single-Cell Sequencing

Jack R. Leary, Yi Xu, Ashley B. Morrison…·Xianlu L. Peng

SCISSORS identifies rare cell types in scRNA-seq data through semi-supervised reclustering and marker gene detection.

25 citations

scRNA-seqstatistical model

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BioinformaticsNature Computational SciencePeer-reviewedApr 15, 2021

Cell type-aware analysis of RNA-seq data

Chong Jin, Mengjie Chen, Danyu Y. Lin, Wei Sun

The paper introduces CARseq, a framework for RNA-seq differential expression analysis that accounts for cell type composition, showing higher power and accuracy in identifying differentially expressed genes in schizophrenia and autism studies.

27 citations

humanbulk RNA-seq

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GenomicsJournal of the American Statistical AssociationPeer-reviewedAug 14, 2019

ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing For Aberrant Gene Expression Patterns

Douglas R. Wilson, Chong Jin, Joseph G. Ibrahim, Wei Sun

ICeD-T improves immune cell abundance estimation in tumor samples by handling aberrant gene expression patterns, outperforming existing methods in simulations and real data.

23 citations

humanbulk RNA-seq

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