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ABSTRACT:
SUBMITTER: Kapourani CA
PROVIDER: S-EPMC6427844 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature
Kapourani Chantriolnt-Andreas CA Sanguinetti Guido G
Genome biology 20190321 1
Measurements of single-cell methylation are revolutionizing our understanding of epigenetic control of gene expression, yet the intrinsic data sparsity limits the scope for quantitative analysis of such data. Here, we introduce Melissa (MEthyLation Inference for Single cell Analysis), a Bayesian hierarchical method to cluster cells based on local methylation patterns, discovering patterns of epigenetic variability between cells. The clustering also acts as an effective regularization for data im ...[more]