LUCIDus: Latent Unknown Clustering Integrating Multi-View Data

An implementation of the LUCID model (Peng (2019) <doi:10.1093/bioinformatics/btz667>). LUCID conducts integrated clustering using exposures, omics data (and outcome as an option). An EM algorithm is implemented to estimate MLE of the LUCID model. LUCIDus features integrated variable selection, incorporation of missing omics data, bootstrap inference, prediction and visualization of the model.

Package details

AuthorYinqi Zhao [aut, cre] (<>), David Conti [ths] (<>), Jesse Goodrich [ctb] (<>), Cheng Peng [ctb]
MaintainerYinqi Zhao <>
Package repositoryView on CRAN
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LUCIDus documentation built on Nov. 10, 2022, 5:06 p.m.