Author

Wen‐Chang Chen

Tsinghua UniversityORCID 0000-0001-9472-9318Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Xuegong ZhangiD· 2 shared Catherine Zhang· 1 shared Chen LiiD· 1 shared Jiaqi LiiD· 1 shared Jiaqi LiiD· 1 shared Lei WeiiD· 1 shared Qiuchen MengiD· 1 shared Rui JiangiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Xuegong ZhangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 30, 2023

A generic reference defined by consensus peaks for scATAC-seq data analysis

Qiuchen Meng, Xinze Wu, Wen‐Chang Chen…·Xuegong Zhang

The paper constructs a generic chromatin accessibility reference (cPeaks) from bulk ATAC-seq data to improve scATAC-seq analysis and cell type identification.

5 citations

scATAC-seqdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 30, 2018

scMetric: An R package of metric learning and visualization for single-cell RNA-seq data

Wen‐Chang Chen, Xuegong Zhang

scMetric provides an R package for metric learning and visualization of single-cell RNA-seq data to improve clustering and dimensionality reduction.

DOI 10.1101/456814

scRNA-seqstatistical model

𝕏 PostBluesky