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v0.1.4
New features
- scCODA now supports tensorflow 2.4+ and tensorflow-probability 0.12+
- Using HMC sampling with dual-averaging step size adaptation (
sample_hmc_da()) and No-U-Turn sampling (sample_nuts()) is no longer discouraged - Added a progress bar to all sampling methods
Enhancemants
- ANCOM-BC has now an adjustable FDR parameter
alpha
Bugfixes
- Fixed a bug in
util.result_classes.credible_effects, which still used the old selection method from version 0.1.2