Author

Wenwen Mei

University of North Carolina at Chapel HillORCID 0009-0004-3671-8417Unclaimed 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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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Li CheniD· 2 shared Yuchao JiangiD· 2 shared Aziz SancariD· 1 shared Jin Seok LeeiD· 1 shared Kevin LiniD· 1 shared Lihao WangiD· 1 shared Peter Yi GuaniD· 1 shared Yang CheniD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Li ChenORCID

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2 papers

Recent·Most cited

BioinformaticsFrontiers in GeneticsPeer-reviewedFeb 17, 2023

Destin2: integrative and cross-modality analysis of single-cell chromatin accessibility data

Peter Yi Guan, Jin Seok Lee, Lihao Wang…·Yuchao Jiang

Destin2 improves cross-modality analysis of scATAC-seq data by integrating multiple epigenomic features for dimension reduction, clustering, and trajectory inference.

2 citations

humanscATAC-seq

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedJun 4, 2020

Genome-wide circadian rhythm detection methods: systematic evaluations and practical guidelines

Wenwen Mei, Zhiwen Jiang, Yang Chen…·Yuchao Jiang

The paper evaluates seven circadian rhythm detection algorithms using empirical datasets and simulations, providing guidelines for selecting methods based on data characteristics.

52 citations

GWAS summary statisticsbulk RNA-seq

𝕏 PostBluesky