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 <yinqiz@usc.edu>
LicenseGPL-3
Version2.1.0
URL https://github.com/Yinqi93/LUCIDus
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LUCIDus")

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LUCIDus documentation built on July 22, 2020, 9:07 a.m.