DOI: 10.18129/B9.bioc.dSimer    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see dSimer.

Integration of Disease Similarity Methods

Bioconductor version: 3.8

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 1.8.0
In Bioconductor since BioC 3.4 (R-3.3) (2.5 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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