cocoatree.statistics.pairwise.compute_sca_matrix¶
- cocoatree.statistics.pairwise.compute_sca_matrix(sequences, seq_weights=None, freq_regul=0.03)[source]¶
Compute the SCA coevolution matrix
\[C_{ij}^{ab} = f_{ij}^{ab} - f_i^a f_j^b\]\[\tilde{C_{ij}} = \sqrt{sum_{a,b} \tilde{(C_{ij}^{ab})^2}}\]Arguments¶
sequences : list of sequences
- seq_weightsndarray (nseq), optional, default: None
if None, will compute sequence weights
freq_regul : regularization parameter (default=__freq_regularization_ref)
Returns¶
SCA_matrix : SCA coevolution matrix
Examples using cocoatree.statistics.pairwise.compute_sca_matrix
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Perform full SCA analysis on the S1A serine protease dataset
Perform full SCA analysis on the S1A serine protease dataset