Incompatible changes:
- Change random_seed to work with numpy.random.default_rng. This may cause different random numbers compared to the old versions using numpy.random.seed().
- Change parameter names in some functions
- Rename filter_abundance() to filter_sum(abundance)
- Other backwards incompatible function API changes and code refactoring.
New features:
- Add RatioExperiment for working with ratios between two groups of features
- Add random_seed option to tranforming.permute_data()
- Add bad_color parameter to heatmap() and derivative functions
- Add more methods for MS1Experiment
- Add q-values (correted p-values) to dsfdr and derivative functions. This is manifested in a new feature_metadata field ("qval") for results of diff_abundance() / correlation()
- improved GUI for qt5 heatmap database enrichment results.
- Add
read_qiime2()
function to enable reading of qiime2 feature tables artifacts with the associated representative sequences and taxonomy artifacts (without the need to install qiime2) - Add
Experiment.validate()
. - Change default color scale in heatmap plot to linear scale for
Experiment
and log scale forAmpliconExperiment
andMS1Experiment
. - Move to pytest for unit tests and doctests.
- Add new mechanism to register a function to a class as a method automatically. In order for a function to be registerred to a class, it must be a public function and has type hint of the class type for its first function parameter and return value.
- Clean and improve API documentation.
Other changes:
- make scikit-bio an optional dependency (needed only when processing dendrograms)
Version 2019.5.1
- Add
reverse
parameter to the sorting functions. - Fix minor documentation formatting issues
- Update installation instruction with conda install from conda-forge
- Change the column names added to
Experiment.feature_metadata
after runningExperiment.correlation
orExperiment.diff_abundance
Version 2018.10.1
- Add notebook tutorial for
calour.training
module for classification and regression. - Add notebook tutorial for metabolome data analysis
- Add plot functions in
calour.training
module - Fix a bug in
Expriment.aggregate_by_metadata
when the number in the data table is overflow the int type. - Add CONTRIBUTING.md as guidelines