Calour

Latest version: v2019.5.1

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2020.8.6

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 for `AmpliconExperiment` and `MS1Experiment`.
* 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)

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 running `Experiment.correlation` or `Experiment.diff_abundance`

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

2018.5.2

* Add export_html() function to save heatmap as an interactive html heatmap

2018.5.1

* In `calour.training` module, added functions to do regression and classification and to visualize their results. `SortedStratifiedKFold` and `RepeatedSortedStratifiedKFold` are aslo added for stratified cross validation for regression. They are recommended.

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