SUMO 1.2.1
Minor Enhancements
- Noise modeling using real data statistics: Added
real_stats = TRUE and real_means_vars
arguments to simulateMultiOmics(). This allows users to
simulate omics datasets where the background noise is modeled to match
real-world omic-specific mean and variance profiles.
- Signal-free omics still receive noise: Omics
datasets that are not mapped to any latent factor now still receive
noise values, ensuring more realistic simulation structure across all
omics.
- Improved error handling: Enhanced error messages
for better clarity when issues arise during simulation. This includes
more informative messages when omics are not mapped to latent
factors.
- Documentation updates: Updated documentation to
reflect the new features and improvements in the package. This includes
examples and explanations for the new
real_stats
functionality.
- Code optimization: Optimized internal code for
better performance and efficiency in simulations. This includes
improvements in how noise is generated and applied to omics
datasets.