The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
An implementation of estimating the Latent Unknown Clusters By Integrating Multi-omics Data (LUCID) model (Peng (2019) <doi:10.1093/bioinformatics/btz667>). LUCID conducts integrated clustering using exposures, omics data (and outcome as an option). This is a major update from the last version while conserving all the previous features. This package implements three different integration strategies for multiple omics data analysis within the LUCID framework: LUCID early integration (the original LUCID model), LUCID in parallel (intermediate), and LUCID in serial (late). Automated model selection for each LUCID model is available to obtain the optimal number of latent clusters, and an integrated imputation approach is implemented to handle sporadic and list-wise missing multiple omics data.
Version: | 3.0.1 |
Depends: | R (≥ 3.6.0) |
Imports: | mclust, nnet, boot, jsonlite, networkD3, progress, stats, utils, glasso, glmnet |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2023-10-31 |
Author: | Qiran Jia [aut, cre], Yinqi Zhao [aut], David Conti [ths], Jesse Goodrich [ctb] |
Maintainer: | Qiran Jia <qiranjia at usc.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
In views: | MissingData, Omics |
CRAN checks: | LUCIDus results |
Reference manual: | LUCIDus.pdf |
Package source: | LUCIDus_3.0.1.tar.gz |
Windows binaries: | r-devel: LUCIDus_3.0.1.zip, r-release: LUCIDus_3.0.1.zip, r-oldrel: LUCIDus_3.0.1.zip |
macOS binaries: | r-release (arm64): LUCIDus_3.0.1.tgz, r-oldrel (arm64): LUCIDus_3.0.1.tgz, r-release (x86_64): LUCIDus_3.0.1.tgz, r-oldrel (x86_64): LUCIDus_3.0.1.tgz |
Old sources: | LUCIDus archive |
Please use the canonical form https://CRAN.R-project.org/package=LUCIDus to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.