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This is the development version of ClusterFoldSimilarity; for the stable release version, see ClusterFoldSimilarity.

Calculate similarity of clusters from different single cell samples using foldchanges

Bioconductor version: Development (3.20)

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>

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 1.1.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
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_1.1.0.tar.gz
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macOS Binary (x86_64) ClusterFoldSimilarity_1.1.0.tgz
macOS Binary (arm64) ClusterFoldSimilarity_1.1.0.tgz
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