Advancements in neurological data capturing and mapping have provided scientists with exponentially more information, allowing for more detailed analysis of neurological behaviors and their translations to cognitive, emotional, and physical function. Inspired by the diffculty in diagnosing brain damage, this project seeks to leverage statistical modeling with EEG data to...
Gene regulatory networks are commonly used for modeling biological processes and revealing underlying molecular mechanisms. The reconstruction of gene regulatory networks from observational data is a challenging task, especially considering the large number of players (e.g. genes) involved and the small number of biological replicates available for analysis. Herein, we...