Brian R. Moore

This paper introduces a hierarchical Bayesian mixture model to infer gene expression states from transcriptomic data, showing high accuracy in both simulated and empirical datasets.

This paper introduces a Bayesian method to estimate branch-specific diversification rates in phylogenies, accounting for extinct lineages and showing increased diversification rates in Old World Monkeys.

TESS estimates lineage diversification rates from molecular phylogenies using Bayesian methods, accommodating incomplete sampling and various diversification models.

This paper introduces a Bayesian method to detect mass-extinction events from molecular phylogenies, showing it can accurately identify extinction events even with background diversification rate variation.

This study estimates divergence times and explores feeding evolution in grey mullets using phylogenetic analysis and correlates feeding preferences with habitat, body size, and geographic distribution.

This paper evaluates the performance of MEDUSA, a method for detecting shifts in lineage diversification rates, through simulations revealing high Type I error and biased parameter estimates.