LUCID with Multiple Omics Data
Description
Implements Latent Unknown Clusters By Integrating Multi-omics Data
(LUCID; Peng (2019) ) for integrative
clustering with exposures, multi-omics data, and health outcomes.
Supports three integration strategies: early, parallel, and serial.
Provides model fitting and tuning, lasso-type regularization for exposure
and omics feature selection, handling of missing data, including both
sporadic and complete-case patterns, prediction, and g-computation for
estimating causal effects of exposures, bootstrap inference for
uncertainty estimation, and S3 summary and plot methods. For the
multi-omics integration framework, see Jia (2024)
.
For the missing-data imputation mechanism, see Jia (2024)
.