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This is the development version of ClusterFoldSimilarity; to use it, please install the devel version of Bioconductor.

Calculate similarity of clusters from different single cell samples using foldchanges

Bioconductor version: Development (3.19)

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]

Maintainer: Oscar Gonzalez-Velasco <oscargvelasco at gmail.com>

Citation (from within R, enter citation("ClusterFoldSimilarity")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

ClusterFoldSimilarity: HTML R Script
Reference Manual PDF


biocViews Clustering, FeatureExtraction, GeneTarget, GraphAndNetwork, RNASeq, SingleCell, Software
Version 0.99.14
In Bioconductor since BioC 3.19 (R-4.4)
License Artistic-2.0
Imports methods, igraph, ggplot2, scales, BiocParallel, graphics, stats, utils, Matrix, cowplot, dplyr, reshape2, Seurat, SeuratObject, SingleCellExperiment, ggdendro
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Suggests knitr, rmarkdown, kableExtra, scRNAseq, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package ClusterFoldSimilarity_0.99.14.tar.gz
Windows Binary ClusterFoldSimilarity_0.99.14.zip
macOS Binary (x86_64) ClusterFoldSimilarity_0.99.14.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/ClusterFoldSimilarity
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ClusterFoldSimilarity
Bioc Package Browser https://code.bioconductor.org/browse/ClusterFoldSimilarity/
Package Short Url https://bioconductor.org/packages/ClusterFoldSimilarity/
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