Melissa is a Baysian probabilistic model for jointly clustering and imputing single cell methylomes. This is done by taking into account local correlations via a Generalised Linear Model approach and global similarities using a mixture modelling approach.
|Author||C. A. Kapourani [aut, cre]|
|Bioconductor views||Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics ImmunoOncology KEGG RNASeq Regression Sequencing SingleCell|
|Maintainer||C. A. Kapourani <email@example.com>|
|License||GPL-3 | file LICENSE|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.