Bioconductor-mirror/dSimer: Integration of Disease Similarity Methods
Version 1.3.0

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.

Getting started

Package details

AuthorMin Li <[email protected]>, Peng Ni <[email protected]> with contributions from Zhihui Fei and Ping Huang.
Bioconductor views Network Software Visualization
MaintainerPeng Ni <[email protected]>
LicenseGPL (>= 2)
Version1.3.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/dSimer")
Bioconductor-mirror/dSimer documentation built on June 1, 2017, 7:30 a.m.