pBRIT prioritizes candidate genes based on a set of training genes provided by the user. pBRIT incorporates two information-theoretic approaches for data fusion:
Under each of the data fusion methods, there are two alternative regression designs:
In our cross-validation studies, TFIDF_SVD combined with Test.Pheno.Include gave comparatively better results.