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@@ -10,7 +10,7 @@ and this project adheres to [Semantic Versioning][].
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## 2.0.0
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Major update to accomodate the scverse :cite:`scverse`template.
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Major update to accomodate the scverse template.
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All functions have been rewritten to follow the new API, errors when running previous versions (`1.X.X`) are expected if `decoupler >= 2.0.0` is installed.
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- Use `decoupler.mt.<method_name>` to call a method
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-`min_n` argument has been renamed `tmin`
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- New argument `bsize` allows to run a method with batches in case excessive memory usage is an issue
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-:math:`p_{values}` of the enrichment scores are now corrected by Benjamini-Hochberg
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-`mdt` and `udt` are now based on `xgboost` instead of `sklearn` for better scalability. `udt` statistic is now the coefficient of determination :math:`R^2` instead of the importance of a single decision tree.
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-$p_{values}$ of the enrichment scores are now corrected by Benjamini-Hochberg
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-`mdt` and `udt` are now based on `xgboost` instead of `sklearn` for better scalability. `udt` statistic is now the coefficient of determination $R^2$ instead of the importance of a single decision tree.
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-`ora` now returns the odds ratio of the contingency table as a statistic, and computes a two-sided Fisher exact test instead of a one-sided one
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-`viper` now correctly estimates shadow regulons when network weights are values other than -1 or +1
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-`wsum` and `wmean` are deprecated, instead now the method `waggr` allows to run both methods and any custom function. This makes it easier to quickly test new enrichment methods without having to deal with `decoupler`'s implementation
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-`plot_associations` to `obsm`
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-`plot_targets` to `source_targets`
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- Preprocessing functions are now in the new `pp` module
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- Renamed `check_corr` to `net_corr`, now also returns adjusted :math:`p_{values}`
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- Renamed `check_corr` to `net_corr`, now also returns adjusted $p_{values}$
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- Renamed `get_acts` to `get_obsm`
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- Renamed `get_pseudobulk` to `pseudobulk`. Now it does not automatically remove low quality samples, this is now done with the function `filter_samples`
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- Deprecated `get_contrast`, `get_top_targets` and `format_contrast_results`. `PyDESeq2` should be used instead
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