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 (3.18)
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 "4.3") 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 | 1.17.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (4.5 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 |
Linking To | |
Suggests | testthat, knitr, rmarkdown |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | Melissa_1.17.0.tar.gz |
Windows Binary | Melissa_1.17.0.zip |
macOS Binary (x86_64) | Melissa_1.17.0.tgz |
macOS Binary (arm64) | Melissa_1.17.0.tgz |
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 |