This package is for version 3.9 of Bioconductor;
for the stable, up-to-date release version, see
Melissa.
Bayesian clustering and imputationa of single cell methylomes
Bioconductor version: 3.9
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]
Maintainer: C. A. Kapourani <kapouranis.andreas at gmail.com>
Citation (from within R,
enter citation("Melissa")):
Installation
To install this package, start R (version
“3.6”) and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Melissa")
For older versions of R, please refer to the appropriate
Bioconductor release.
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("Melissa")
Details
| biocViews | Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) ( |
| License | GPL-3 | file LICENSE |
| Depends | R (>= 3.5.0), BPRMeth, GenomicRanges |
| Imports | data.table, parallel, ROCR, matrixcalc, clues, ggplot2, doParallel, foreach, MCMCpack, cowplot, magrittr, mvtnorm, truncnorm, assertthat, BiocStyle, stats, utils |
| LinkingTo | |
| Suggests | testthat, knitr, rmarkdown |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
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Read more here: Source link
