README.md
In 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.
If you are interested in this package, install it from R and bioconductor and use ?dSimer for help.
PengNi/dSimer documentation built on May 8, 2019, 1:28 a.m.
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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.
If you are interested in this package, install it from R and bioconductor and use ?dSimer for help.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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