Melissa
Bayesian clustering and imputationa of single cell methylomes
Bioconductor version: 3.23 · Package version: 1.28.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Melissa")Details
| Maintainer | C. A. Kapourani <kapouranis.andreas@gmail.com> |
| Author | C. A. Kapourani [aut, cre] |
| License | GPL-3 | file LICENSE |
| Status | Deprecated |
| Downloads rank | 198 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software |
Documentation
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Dependencies
Depends: R (>= 3.5.0), BPRMeth, GenomicRanges
Imports: data.table, parallel, ROCR, matrixcalc, mclust, ggplot2, doParallel, foreach, MCMCpack, cowplot, magrittr, mvtnorm, truncnorm, assertthat, BiocStyle, stats, utils