SmCCNet 2.0: an Upgraded R package for Multi-omics Network Inference

Abstract

AbstractSummarySparse multiple canonical correlation network analysis (SmCCNet) is a machine learning technique for integrating omics data along with a variable of interest (e.g., phenotype of complex disease), and reconstructing multiomics networks that are specific to this variable. We present the second-generation SmCCNet (SmCCNet 2.0) that adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. In addition, this new package offers a streamlined setup process that can be configured manually or automatically, ensuring a flexible and user-friendly experience.AvailabilityThis package is available in both CRAN:https://cran.r-project.org/web/packages/SmCCNet/index.htmland Github:https://github.com/KechrisLab/SmCCNetunder the MIT license. The network visualization tool is available inhttps://smccnet.shinyapps.io/smccnetnetwork/.