Ryan J. Urbanowicz

The paper introduces GAPF-seq, a method to detect structural variants in cfDNA, achieving high accuracy in distinguishing tumors from controls.

The paper introduces STIR, a statistical inferential framework for Relief-based feature selection that accounts for variance in nearest neighbor distances to assess feature importance and significance in high-dimensional data.

The paper introduces a collective feature selection approach to identify epistatic variants by combining multiple methods, showing improved performance in detecting true positive interactions in both simulated and real BMI data.