Mutation
Through comprehensive analysis of population-level genetic sequencing data, we identify oncogenic mutations among hundreds of unique alterations within a single gene. Our MAP platform algorithm uses genetic and proteomic features to rank mutations for potential oncogenicity. We use our algorithm as a machine learning tool to classify mutations as either pathogenic or benign and predict the probability, or MAP score, that a mutation is pathogenic.