Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data.

Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data.

We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missing values. Using synthetic and published single-cell CpG datasets, we show that Epiclomal outperforms non-probabilistic...

Full description

Bibliographic Details
Main Authors: Camila P E de Souza, Mirela Andronescu, Tehmina Masud, Farhia Kabeer, Justina Biele, Emma Laks, Daniel Lai, Patricia Ye, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, Richard A Moore, Martin Hirst, Samuel Aparicio, Sohrab P Shah
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-09-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008270

Internet

https://doi.org/10.1371/journal.pcbi.1008270

Similar Items