Pedro Larrañaga

The paper introduces FGES-Merge, a method for learning large gene regulatory networks from brain data, achieving high accuracy and speed while providing interpretable results.

The paper compares electrophysiological and morphological differences between human and mouse layer 2/3 pyramidal neurons using Bayesian networks and finds species-specific correlations.

BayeSuites provides a scalable web framework for Bayesian networks in neuroscience, demonstrating its capabilities with genomic data examples.

The paper compares basal dendrite morphology between human and mouse hippocampal CA1 pyramidal neurons using Bayesian networks to analyze inter-species differences and morphological determinants.