SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments

SUMMARY: scATAC-seq is a powerful approach for characterizing cell-type-specific regulatory landscapes. However, it is difficult to benchmark the performance of various scATAC-seq analysis techniques (such as clustering and deconvolution) without having a priori a known set of gold-standard cell typ...

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Bibliographic Details
Published in:Bioinformatics
Main Authors: Chen, Zhanlin, Zhang, Jing, Liu, Jason, Zhang, Zixuan, Zhu, Jiangqi, Lee, Donghoon, Xu, Min, Gerstein, Mark
Format: Artigo
Language:Inglês
Published: Oxford University Press 2021
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Applications Notes
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8289380/
https://ncbi.nlm.nih.gov/pubmed/33471102
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa1039
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