DOI: 10.18129/B9.bioc.dSimer    

Integration of Disease Similarity Methods

Bioconductor version: Release (3.6)

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>

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biocViews Network, Software, Visualization
Version 1.4.0
In Bioconductor since BioC 3.4 (R-3.3) (1.5 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
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Source Package dSimer_1.4.0.tar.gz
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Mac OS X 10.11 (El Capitan) dSimer_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/dSimer
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