Margaret Rita Karagas

This study compares RNA extraction and preservation protocols for miRNA profiling in infant and toddler stool, finding that RNAlater and Zymo DNA/RNA Shield yield similar high-quality RNA with comparable human miRNA profiles.

This study identifies placental DNA methylation changes linked to maternal smoking during pregnancy and their associations with birth outcomes using data from the PACE consortium.

The paper introduces a method for selecting Gaussian graphical models using prior knowledge and applies it to metabolomic data, finding that metabolic pathways significantly influence metabolite dependencies.

The paper introduces a zero-inflated latent Ising model to estimate microbial interaction networks, showing it outperforms traditional methods in simulated and real gut microbiome data.

The paper identifies miR-532 as a microRNA associated with birthweight percentile through regulation of adipokines in two independent cohorts.

The paper identifies DNA methylation changes in breast milk associated with future breast cancer risk using epigenome-wide association studies.

This study develops a machine learning model to predict 10-year overall survival in bladder cancer patients using clinical and molecular features, without relying on tumor grade classification.