Author

Taylor M. Lagler

University of North Carolina at Chapel Hill

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:Hi-C· 2 Organism:human· 2 Assay:ATAC-seq· 1 Research Focus:batch correction / integration· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Yuchen YangiD· 3 shared Yun LiiD· 3 shared Alex P. ReineriD· 1 shared Armen AbnousiiD· 1 shared Gang LiiD· 1 shared Jia WeniD· 1 shared Jiandong LiuiD· 1 shared Laura M. RaffieldiD· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersBioinformatics

Yuchen YangORCID

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3 papers

Recent·Most cited

iSMNN: Batch Effect Correction for Single-cell RNA-seq data via Iterative Supervised Mutual Nearest Neighbor Refinement

Yuchen Yang, Gang Li, Yifang Xie, Li Wang, Taylor M. Lagler, Yingxi Yang, Jiandong Liu, Qian Li, Yun Li

iSMNN improves batch effect correction in scRNA-seq by iteratively refining mutual nearest neighbors, enhancing cell type mixing and differential gene identification across batches.

Briefings in Bioinformatics · Mar 15, 2021Peer-reviewedBioinformatics

Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell types

Taylor M. Lagler, Yuchen Yang, Yuriko Harigaya, Vijay G. Sankaran, Ming Hu, Alex P. Reiner, Laura M. Raffield, Jia Wen, Yun Li

The paper identifies cell type-specific super-interactive promoters in blood lineage cells using Hi-C data and shows their association with ATAC-seq peaks and GWAS variants.

bioRxiv · Mar 15, 2021 · PreprintGenetics

HiC-ACT: Improved Detection of Chromatin Interactions from Hi-C Data via Aggregated Cauchy Test

Taylor M. Lagler, Armen Abnousi, Ming Hu, Yuchen Yang, Yun Li

HiC-ACT improves chromatin interaction detection from Hi-C data by post-processing independent methods, enhancing sensitivity while controlling type-I error.

The American Journal of Human Genetics · Feb 1, 2021Peer-reviewedBioinformatics