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] (<https://orcid.org/0000-0003-2413-732X>), David Conti [ths] (<https://orcid.org/0000-0002-2941-7833>), Jesse Goodrich [ctb] (<https://orcid.org/0000-0001-6615-0472>), Cheng Peng [ctb]
MaintainerYinqi Zhao <yinqiz@usc.edu>
LicenseGPL-3
Version2.2.1
URL https://github.com/USCbiostats/LUCIDus
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LUCIDus")

Try the LUCIDus package in your browser

Any scripts or data that you put into this service are public.

LUCIDus documentation built on Nov. 10, 2022, 5:06 p.m.