https://abhinavvpundirr.r-universe.devRecent package updates in abhinavvpundirrR-universehttps://github.com/abhinavvpundirr.pnghttps://abhinavvpundirr.r-universe.devFri, 08 May 2026 16:43:25 GMTabhinav.pundir@ucdenver.edu (Abhinav Pundir)A canonical correlation based framework ('SmCCNet') designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>.https://github.com/r-universe/kechrislab/actions/runs/38370314777Fri, 08 May 2026 16:43:25 GMTSmCCNet2.0.7successhttps://kechrislab.r-universe.devhttps://github.com/kechrislab/smccnetSmCCNet_Vignette_AutoSmCCNet.RmdSmCCNet_Vignette_AutoSmCCNet.htmlAutomated SmCCNet2023-10-03 23:06:062026-05-08 16:43:25SmCCNet_Vignette_MultiOmics.RmdSmCCNet_Vignette_MultiOmics.htmlReconstructing Phenotype-Specific Multi-Omics Networks with SmCCNet2023-10-03 23:06:062026-05-08 16:43:25SmCCNet_Vignette_SingleOmics.RmdSmCCNet_Vignette_SingleOmics.htmlReconstructing Phenotype-Specific Single-Omics Networks with SmCCNet2023-10-03 23:06:062026-05-08 16:43:25