mmcci.an.calculate_dissim

mmcci.an.calculate_dissim(sample1: CCIData, sample2: CCIData, assay: str = 'raw', key: str = 'cci_scores', lmbda: float = 0.5)[source]

Calculates a dissimilarity score between two samples for each common LR pair.

Parameters:

  • sample1 (CCIData) – The two samples to compare.

  • sample2 (CCIData) – The two samples to compare.

  • assay (str) (optional) – The assay to use for the comparison. Defaults to ‘raw’.

  • key (str) (optional) – The key to use for the comparison. Defaults to ‘cci_scores’.

  • lmbda (float) (optional) – The weighting factor for the comparison. Defaults to 0.5.

Returns:

A dictionary where keys are common LR pairs and values are the dissimilarity scores.

Return type:

dict