PengNi/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.

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)
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PengNi/dSimer")
PengNi/dSimer documentation built on May 8, 2019, 1:28 a.m.