🚀 Initial release of the Entropy package!

  • Added run_entropy() for gene expression entropy estimation
  • Supports Seurat objects with or without neighbor list

🛠 Minor feature updates:

  • run_entropy() now supports:

  • npca parameter: control number of PCA dimensions used for neighbor graph construction

  • nfeatures parameter: control number of variable features selected for PCA

  • nn.name parameter: optionally specify the neighbor graph name already stored in the Seurat object

Improved flexibility for entropy estimation in Seurat objects Updated function documentation and vignettes

🚀 Speed improvements and feature enhancements:

  • Major speed-up of entropy estimation functions (vectorization, precomputing constants)
  • nfeatures = 0 now skips the selection of highly variable genes (uses all features)
  • Improved flexibility in run_entropy()
  • Updated function documentation and vignettes

Speed improvements