Daniel Rios Garza

The paper demonstrates alternative states in a human gut microbial community and identifies phenotype switching as the mechanism driving their emergence.

The paper uses chemistry-based vectors to analyze untargeted mass spectrometry data and identifies compound classes that differentiate natural biomes.

This paper introduces DNNGIOR, a deep learning method to improve genome-scale metabolic models of incomplete genomes by imputing missing reactions based on reaction frequency and phylogenetic distance.

The paper identifies and validates a comprehensive list of mitochondrial proteins in Plasmodium falciparum using Bayesian statistics and experimental confirmation.