Author

Lin L. Liu

Shanghai Jiao Tong UniversityORCID 0000-0002-9883-7962Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:CUT&Tag· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Chongzhi ZangiD· 2 shared Shengen Shawn HuiD· 2 shared Anindya DuttaiD· 1 shared Clifford A. MeyeriD· 1 shared Ke DengiD· 1 shared Megan C. GriecoiD· 1 shared Mengxue TianiD· 1 shared Michael J. GuertiniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Chongzhi ZangORCID

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2 papers

Recent·Most cited

PATTY corrects open chromatin bias for improved bulk and single-cell CUT&Tag profiling

Shengen Shawn Hu, Zhangli Su, Lin L. Liu, Qingying Chen, Megan C. Grieco, Mengxue Tian, Anindya Dutta, Chongzhi Zang

PATTY corrects open chromatin bias in CUT&Tag data using ATAC-seq and machine learning, improving detection of histone modifications and cell clustering in single-cell analyses.

Nature Communications · May 22, 2026Peer-reviewedBioinformatics

Accurate estimation of intrinsic biases for improved analysis of bulk and single-cell chromatin accessibility sequencing data using SELMA

Shengen Shawn Hu, Lin L. Liu, Qi Li, Wenjing Ma, Michael J. Guertin, Clifford A. Meyer, Ke Deng, Tingting Zhang, Chongzhi Zang

SELMA estimates intrinsic cleavage biases in bulk and single-cell chromatin accessibility data, improving analysis accuracy and cell clustering in single-cell ATAC-seq.

bioRxiv · Oct 22, 2021 · PreprintBioinformatics