History¶

0.5.0 (2026-02-03)¶

• Removed dependency on pyjanitor and implemented custom column name cleaning.

0.4.2 (2026-02-03)¶

• Patched a minor bug in limma_trend_dea.

0.4.1 (2025-12-04)¶

• Patched a minor bug in filter_features and filter_samples.

0.4.0 (2025-11-27)¶

• Added new features to allow saving and loading SP objects using pickle.

0.3.1 (2025-11-26)¶

• Added plot_pca method to visualize data with PCA.
• Updated package Python dependency to 3.11+
• Fixed a bug due to recent dependency breaks (pyjanitor, pandas_flavor)

0.2.0 (2025-10-24)¶

• Added select_variable_features method to allow filtering for highly variable features based on mean-variance trend deviation.

0.1.4 (2025-10-23)¶

• Fixed a minor bug in filtering functions that would sometimes cause failure when running multiple filters in succession.

0.1.3 (2025-10-17)¶

• Added loads of extra documentation and usage examples.

0.1.2 (2025-10-16)¶

• Patched bug in limma_trend_dea that would sometimes break design_formula.

0.1.1 (2025-10-16)¶

• Patched bug that accidentally omitted R modules.

0.1.0 (2025-10-14)¶

• First (beta) release of on PyPI.