SigMA

SigMA detects the homologous-recombination-deficiency signature SBS3 in targeted gene panels. It models the expected mutational background from whole-genome data, then combines likelihood, cosine similarity and NNLS exposure features in a gradient-boosting classifier trained on panel-downsampled genomes, recovering SBS3 from as few as ten panel mutations.