Melissa
This is the development version of Melissa; for the stable release version, see Melissa.
Bayesian clustering and imputationa of single cell methylomes
Bioconductor version: Development (3.21)
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("Melissa")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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")| 1: Process and filter scBS-seq data | HTML | R Script |
| 2: Cluster and impute scBS-seq data using Melissa | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software |
| Version | 1.23.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (5.5 years) |
| License | GPL-3 | file LICENSE |
| 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 |
| System Requirements | |
| URL |
See More
| Suggests | testthat, knitr, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | Melissa_1.23.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/Melissa |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Melissa |
| Bioc Package Browser | https://code.bioconductor.org/browse/Melissa/ |
| Package Short Url | https://bioconductor.org/packages/Melissa/ |
| Package Downloads Report | Download Stats |