This is the development version of ClusterFoldSimilarity; for the stable release version, see ClusterFoldSimilarity.
Calculate similarity of clusters from different single cell samples using foldchangesBioconductor version: Development (3.22)
This package calculates a similarity coefficient using the fold changes of shared features (e.g. genes) among clusters of different samples/batches/datasets. The similarity coefficient is calculated using the dot-product (Hadamard product) of every pairwise combination of Fold Changes between a source cluster i of sample/dataset n and all the target clusters j in sample/dataset m
Author: Oscar Gonzalez-Velasco [cre, aut] ORCID: 0000-0002-5054-8635
Maintainer: Oscar Gonzalez-Velasco <oscargvelasco at gmail.com>
Citation (from within R, entercitation("ClusterFoldSimilarity")): 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("ClusterFoldSimilarity")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ClusterFoldSimilarity")Follow Installation instructions to use this package in your R session.
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