Abstract: This document describes technology that can be used for detecting an etiological factor of a disease in a subject having the disease, training data is received that includes data objects each recording i) a disease label, ii) at least one corresponding mutational signature, and iii) corresponding etiological tags. A first set of features based on single nucleotide mutations and a second set of features based on dinucleotide mutations are generated. A machine learning model is trained on the first set of features and on the second set of features. A classifier is generated that is configured to: operate by receiving a new-genomic-data-object, the new-genomic-data-object specific to the subject having the disease; and generate, from the new-genomic-data-object, a etiological-classification for the new-genomic-data-object, the etiological-classification indicating a corresponding etiological factor that matches one of the etiological tags.