CHORD is a random forest model that uses the relative counts of somatic mutation contexts to predict homologous recombination deficiency (HRD). The primary contexts used by CHORD are deletions with flanking microhomology and 1-100kb structural duplications. Additionally, 1-100kb structural duplications are used to distinguish BRCA1-type HRD from BRCA2-type HRD.
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