dSimer: Integration of Disease Similarity Methods

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.

Package details

AuthorMin Li <limin@mail.csu.edu.cn>, Peng Ni <nipeng@csu.edu.cn> with contributions from Zhihui Fei and Ping Huang.
Bioconductor views Network Software Visualization
MaintainerPeng Ni <nipeng@csu.edu.cn>
LicenseGPL (>= 2)
Version1.8.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("dSimer")

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dSimer documentation built on May 2, 2019, 12:40 a.m.