DOI: 10.18129/B9.bioc.dSimer    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Integration of Disease Similarity Methods

Bioconductor version: Development (3.10)

dSimer is an R package which provides computation of nine methods for measuring disease-disease similarity, including a standard cosine similarity measure and eight function-based methods. The disease similarity matrix obtained from these nine methods can be visualized through heatmap and network. Biological data widely used in disease-disease associations study are also provided by dSimer.

Author: Min Li <limin at mail.csu.edu.cn>, Peng Ni <nipeng at csu.edu.cn> with contributions from Zhihui Fei and Ping Huang.

Maintainer: Peng Ni <nipeng at csu.edu.cn>

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


To install this package, start R (version "3.6") and enter:

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

# The following initializes usage of Bioc devel


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


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biocViews Network, Software, Visualization
Version 1.11.1
In Bioconductor since BioC 3.4 (R-3.3) (3 years)
License GPL (>= 2)
Depends R (>= 3.3.0), igraph (>= 1.0.1)
Imports stats, Rcpp (>= 0.11.3), ggplot2, reshape2, GO.db, org.Hs.eg.db, AnnotationDbi, graphics
LinkingTo Rcpp
Suggests knitr, rmarkdown, BiocStyle
Depends On Me
Imports Me
Suggests Me
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary dSimer_1.11.1.zip
Mac OS X 10.11 (El Capitan) dSimer_1.11.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/dSimer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dSimer
Package Short Url https://bioconductor.org/packages/dSimer/
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