cell2cell - v0.6.5

Please refer to the release notes of all previous versions here

Release Notes - cell2cell v0.6.5

New features

• Implemented in-house GSEA using gseapy. Associated code is located in
  cell2cell.datasets.gsea_data and cell2cell.external.gseapy.
• Implemented a function to obtain a dataframe of lr pairs by cell pairs from a tensor decomposition
  result, so it can be use to make a plot. It can compute a communication score that is by factor or
  across all factors. See function cell2cell.analysis.tensor_downstream.get_lr_by_cell_pairs().

Feature updates

• Added the axis names to the dataframe generated with cell2cell.analysis.tensor_downstream.get_joint_loadings(),
  which correspond to the dim1 and dim2 parameters.
• Added the axis labels (cm.ax_heatmap.set_xlabel() & (cm.ax_heatmap.set_ylabel()) using the dataframe axis names
  passed to cell2cell.plotting.factor_plot.loading_clustermap()

What's Changed

• Minor update to examples & docs by @earmingol in #23
• Updates for v0.6.5 by @earmingol in #24

Full Changelog: v0.6.4...v0.6.5