Changes in version 0.99.0                        

Initial Submission to Bioconductor

  - Initial submission of MeLSI (Metric Learning for Statistical
    Inference) to Bioconductor
  - Novel machine learning method for microbiome beta diversity analysis
  - Learns optimal distance metrics to improve statistical power in
    detecting group differences
  - Comprehensive validation against standard methods (Bray-Curtis,
    Euclidean, Jaccard)
  - Robust ensemble learning approach with conservative pre-filtering
  - Validated on real microbiome datasets with proper Type I error
    control
  - Provides feature importance weights for biological interpretability
  - Includes helper functions for CLR transformation and visualization
    (VIP plots, PCoA)
  - Full integration with Bioconductor ecosystem (phyloseq, microbiome
    packages)