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 <[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)
Package repositoryView on Bioconductor
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dSimer documentation built on Nov. 1, 2018, 2:59 a.m.