Sccellfie

**Full Changelog**: https://github.com/earmingol/scCellFie/compare/v0.1.12...v0.1.13

New features

- Added option to select what connectivities and distances to used based on label. See [sccellfie.expression.smoothing.py](https://github.com/earmingol/scCellFie/blob/main/sccellfie/expression/smoothing.py)

**Full Changelog**: https://github.com/earmingol/scCellFie/compare/v0.1.11...v0.1.12

New features:
- Added the option `use_raw` when running `sccellfie.expression.smooth_expression_knn()`
- Quick fix for smoothing expression with respect to v0.1.11.

**Full Changelog**: https://github.com/earmingol/scCellFie/compare/v0.1.10...v0.1.11

New features:
- Added the option `use_raw` when running `sccellfie.expression.smooth_expression_knn()`

**Full Changelog**: https://github.com/earmingol/scCellFie/compare/v0.1.8...v0.1.10

Quick fix for improving memory efficiency.

**Full Changelog**: https://github.com/earmingol/scCellFie/compare/v0.1.7...v0.1.8

Commits:

- Added tests for smoothing algorithm
- DALL-E Acknowledgement
- Minor fix to progress bar
- Implemented algorithm for smoothing gene expression based on KNNs
- Uses nanpercentile instead of percentile
- Fixed exclude_zero & added trimean threshold

**Full Changelog**: https://github.com/earmingol/scCellFie/compare/v0.1.6...v0.1.7

- Added Trimean as central tendency measure for aggregating expression values (gene expression, reaction activity, metabolic task activity, etc).
- If the reaction activity is 0, the first gene found with that value will be assigned as the determinant gene