SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration

MOTIVATION: Single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) provides new opportunities to dissect epigenomic heterogeneity and elucidate transcriptional regulatory mechanisms. However, computational modeling of scATAC-seq data is challenging due to its high dimension,...

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Detalles Bibliográficos
Autores principales: Cao, Yingxin, Fu, Laiyi, Wu, Jie, Peng, Qinke, Nie, Qing, Zhang, Jing, Xie, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Regulatory and Functional Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275346/
https://www.ncbi.nlm.nih.gov/pubmed/34252968
http://dx.doi.org/10.1093/bioinformatics/btab303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275346/
https://www.ncbi.nlm.nih.gov/pubmed/34252968
http://dx.doi.org/10.1093/bioinformatics/btab303

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