COGNITIVE IDENTIFICATION OF PATHOGENIC PATHWAYS

Embodiments of the present invention are directed to methods for adapting machine learning, redescription, and computational homology techniques to the identification of pathogenic pathways. A non-limiting example of the computer-implemented method includes receiving genetic and biological data and generating a data matrix based on the data. The data matrix can include one or more features, and each feature can be associated with a known feature value. A collection of sets of features representing pathways, genes, or a genetic combination of genotype values can be determined. The method also includes determining a first prediction for a feature value of a selected feature to be predicted in the collection, permuting one or more rows of the data matrix, and recalculating a second prediction for the feature value based on the permutation. A prediction score can be determined based on the first prediction, the second prediction, and a known feature value.