A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease.

ABSTRACT:

Summary

Gene-based supervised machine learning classification models have been widely used to differentiate disease states, predict disease progression and determine effective treatment options. However, many of these classifiers are sensitive to noise and frequently do not replicate in external validation sets. For complex, heterogeneous diseases, these classifiers are further limited by being unable to capture varying combinations of genes that lead to the same phenotype. Pathway-based classification can overcome these challenges by using robust, aggregate features to represent biological mechanisms. In this work, we developed a novel pathway-based approach, PRObabilistic Pathway Score, which uses genes to calculate individualized pathway scores for classification. Unlike previou

SUBMITTER: Han L 

PROVIDER: S-EPMC5860179 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature