DiscrimAlign

DiscrimAlign is a statistical model designed for discriminative learning of substitution matrices and gap penalties, improving pairwise sequence alignment for classification tasks. It predicts sequence interactions (e.g., microRNA-target interactions) by optimizing alignment scores for positive and negative pairs.