v0.4.0

1. Add batch effect correction method by setting integration_type="BatchCorrect";
2. Add more distances (e.g. cosine, cityblock, see sklearn.metrics.pairwise) to formulate distance matrices.
3. Fix some bugs;

v0.3.0

unioncom-0.3.0.tar.gz

• Add more comments to make the software easier to understand
• Fix some bugs

v0.2.2

• Fix some bugs;
• Change function "PCA_visualize" to "Visualize", and provide PCA, TSNE and UMAP for visulalization;
• Add a function to find maximum connected subgraph;

v0.2.1

• Split function train into functions Match and Project.
• Use Kuhn-Munkres to find optimal pairs between datasets instead of parbabilistic matrix matching.
• Add a new parameter "project" to provide options for barycentric projection.
• Separate "test_label_transfer_accuracy" function from "fit_transform" function
• fix some bugs