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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.
Getting started
Browse package contents
Package details |
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| Author | Yinqi Zhao, David V. Conti, Cheng Peng, Zhao Yang |
| Maintainer | Yinqi Zhao <yinqiz@usc.edu> |
| License | GPL-3 |
| Version | 2.1.0 |
| URL | https://github.com/Yinqi93/LUCIDus |
| Package repository | View on CRAN |
| Installation |
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