This is a minor release with various bug fixes and documentation improvents.
Bug Fixes
- Fixed a potential issue with loading benchmark datasets' samples out of order (This behavior is not guaranteed, but a implementation detail)
- Fixed an issue with ``DataLoader.load_dataset`` not recognizing downloaded datasets
- Fixed an issue with ``preprocess.bead_normalization`` having uninitialized array (9)
Changes and New Features
- No new feature added
- Improved documentations with streamlined front page and updated links (4 )
- Added docstrings for `+` and `+=` operators
- Updated references for CytofDR paper publication in Nature Communications (4 )
Known Issues
- Reference datasets still cannot be downloaded due to broken source links (3 )
- `data.load_expression` does not report mismatched columns when loading multiple datasets (7)
datasets.rev.1
This release contains the three built-in datasets in PyCytoData: Levine13, Levine32, and Samusik. The datasets are originally obtained from FlowRepository (Access Number: [FR-FCM-ZZPH](http://flowrepository.org/id/FR-FCM-ZZPH)) and distributed in accordance with the licensing terms. You do not need to manually download these datasets yourself: the updated package (starting from v0.1.2) will automatically handle the data processing.