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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.
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.