README.md
In SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool

SmCCNet

SmCCNet is a canonical correlation analysis based method for discovering (quantitative) trait-specific multi-omics networks. The method allows the integration of multiple data types and a quantitative phenotypic trait. It incorporates a feature subsampling scheme to improve the robustness of the canonical weights.

To install and use the package, you may download the directory or follow the instructions below. ```{r, install-and-example}

Install package

if (!require("devtools")) install.packages("devtools") devtools::install_github("KechrisLab/SmCCNet")

Load package

library(SmCCNet) ```

In the vignettes folder, users can find a documentation that illustrates how to implement SmCCNet with an example data set. The data file is included under the data folder. Details on all the functions included in the package are documented in the package manual under the package folder. Users may directly download the package tarball for all functions and example data, which is also under the package folder.

Please report any issues at https://github.com/KechrisLab/SmCCNet/issues.