Gregory Farage

The paper improves metabolite effect estimation by incorporating external biological knowledge through a Bayesian hierarchical framework, showing consistent gains in both simulated and real datasets.

The paper develops a matrix linear model to connect metabolite composition with individual characteristics, showing it can separate overlapping metabolite features.

BulkLMM accelerates genome-wide scans for multiple quantitative traits using LMMs by employing vectorized operations and regularization, achieving fast results on large datasets.

The paper develops GPU-accelerated algorithms for fast eQTL scans in BXD mice, reducing runtime to seconds for large transcriptome datasets.

This paper introduces FlxQTL, a flexible multivariate linear mixed model for genetic mapping of multiple correlated traits, adjusting for relatedness and modeling multiple environments or timepoints.