Changes in version 2.0.0                        

New Features

  - Added tDNB() function implementing topological DNB analysis using
    scale-free network topology
  - Implemented C++ acceleration for correlation analysis and module
    scoring via Rcpp (2-20x speedup)
  - Added built-in protein-protein interaction networks for human
    (ppi_h) and mouse (ppi_m) from STRING database
  - New helper functions: fast_cor_cpp(), fast_cor_pval_cpp(),
    fast_module_score_cpp(), fast_bh_adjust()

Improvements

  - Unified API across all seven DNB methods
  - Enhanced documentation with comprehensive vignette
  - Added support for single-cell RNA-seq and spatial transcriptomics
    data
  - Improved memory efficiency for large-scale datasets

Bug Fixes

  - Fixed correlation calculation for samples with zero variance
  - Resolved edge cases in module detection with small sample sizes

                        Changes in version 1.0.0                        

Initial Release

  - Implemented six DNB methods: cDNB, LcDNB, LDNB, MDNB, TSNMB, TSLE
  - Support for bulk RNA-seq data analysis
  - Basic documentation and examples