Patent ID: 8290715
Filing Date: 2012-10-16
Classification: G16B

Abstract:
1. A method for predicting the presence of a disease in a subject by selecting factors from a data set of measurements, the measurements including values of the factors and outcomes, comprising: identifying two or more factors that are jointly associated with one or more outcomes from the data set, wherein the two or more factors comprise two or more genes, the data includes gene expression data comprising expression levels for each of the two or more genes, and the one or more outcomes includes presence or absence of the disease; analyzing each of the two or more factors to determine at least one interaction among the factors with respect to an outcome; identifying the interactions that connect the expression levels in the two or more factors with presence or absence of the disease; and predicting the presence of the disease in the subject by assessing the presence or absence of the interactions correlated with presence of the disease in the subject.