LUCIDus: Latent Unknown Clustering with Integrated Data

An implementation for the 'LUCID' model (Peng (2019) <doi:10.1093/bioinformatics/btz667>) to jointly estimate latent unknown clusters/subgroups with integrated data. An EM algorithm is used to obtain the latent cluster assignment and model parameter estimates. Feature selection is achieved by applying the L1 regularization method.

Package details

AuthorYinqi Zhao, David V. Conti, Cheng Peng, Zhao Yang
MaintainerYinqi Zhao <>
Package repositoryView on CRAN
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LUCIDus documentation built on July 22, 2020, 9:07 a.m.