weights

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weights#

mofaflex.pl.weights(model, n_features=10, views=None, factors=None, pointsize=2, figsize=None, nrow=None, ncol=None)#

Plot the weights for a given factor and view.

Parameters:

  • model (MOFAFLEX) – The MOFA-FLEX model.

  • n_features (int (default: 10)) – Number of top features to annotate.

  • views (str | Sequence[str] | None (default: None)) – The views to consider in the ranking. If None, use all views.

  • factors (int | str | Sequence[int] | Sequence[str] | None (default: None)) – The factors to plot. If None, plot all factors.

  • pointsize (float (default: 2)) – Point size for the annotated features. Points for unannotated features will be of size 0.25 * pointsize.

  • figsize (tuple[int, int] | None (default: None)) – Figure size in inches.

  • nrow (int | None (default: None)) – Number of rows in the faceted plot. If None, plotnine will determine automatically.

  • ncol (int | None (default: None)) – Number of columns in the faceted plot. If None, plotnine will determine automatically.

Return type:

plotnine.ggplot

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