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 <[email protected]>, Peng Ni <[email protected]> with contributions from Zhihui Fei and Ping Huang.|
|Bioconductor views||Network Software Visualization|
|Maintainer||Peng Ni <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.