Thomas A. Louis

The paper develops a Bayesian hierarchical model to extract posterior distributions and ranks from protein microarray data, showing improved performance over existing methods.

This paper introduces BayPR, a Bayesian method that assigns pathogenicity probabilities to genetic variants using population data, achieving high accuracy for Mendelian disorders.

The paper develops a pre-processing pipeline to correct technical variation in protein microarrays, showing that preprocessing impacts downstream analysis validity.