Caitlin Guccione

Community assembly modeling of microbial evolution within Barrett's esophagus and esophageal adenocarcinoma

The paper models microbial community assembly dynamics in Barrett's esophagus and esophageal adenocarcinoma, finding neutral dynamics in normal tissue and BE but not EAC, with H. pylori showing non-neutral behavior in BE non-cancer outcomes.

Predicting locus phylogenetic utility using machine learning

This study uses machine learning to predict locus phylogenetic utility, improving topological accuracy and statistical support by filtering out noisy loci from phylogenomic datasets.

BIRDMAn: A Bayesian differential abundance framework that enables robust inference of host-microbe associations

BIRDMAn is a Bayesian framework for differential abundance analysis in microbiome studies, showing improved statistical power and detecting antibiotic effects and cancer classifiers.

All-FIT: Allele-Frequency-based Imputation of Tumor Purity from High-Depth Sequencing Data

All-FIT estimates tumor purity from high-depth sequencing data by analyzing allele frequencies, outperforming existing methods in simulated and clinical data.