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0.6.3-notes.md

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Release Notes - cell2cell v0.6.3

New features

  • Created cell2cell.analysis.tensor_pipelines with functions to easily run Tensor-cell2cell.

Feature updates

  • Deleted cell2cell.external.tensorly_nn_cp since it is not used anymore. Tensorly is directly used instead.
  • Renamed cell2cell.analysis.pipelines to cell2cell.analysis.cell2cell_pipelines
  • Added elbow_metric, elbow_metric_mean and elbow_metric_raw attributes to cell2cell.tensor.tensor.BaseTensor for storing the curve generated from the elbow analysis.
  • Removed parameter loc_zeros from cell2cell.tensor.tensor.PreBuiltTensor

Fixed Bugs

  • Converted factors to numpy in cell2cell.tensor.factorization._multiple_runs_elbow_analysis() when metric='similarity' to avoid errors when using GPU.
  • Fixed error obtained with functions sparsity_fraction() and missing_fraction() in a cell2cell.tensor.tensor.BaseTensor when tensorly backend is different to numpy and the device is nto a CPU. This error was fixed with making loc_nans and loc_zeros attributes of cell2cell.tensor.tensor.InteractionTensor and cell2cell.tensor.tensor.PreBuiltTensor to be now a tensorly.tensor object.