V. Anne Smith

Metabarcode and transcriptome datasets of Pinus sylvestris to assess fungal phyllosphere and disease dynamics.

The paper presents metabarcoding and transcriptomic datasets from Pinus sylvestris to study fungal phyllosphere dynamics and disease susceptibility to Dothistroma needle blight.

Dynamic Bayesian networks for neural information flow:evaluation of continuous and discrete scoring metrics

This study evaluates Bayesian network scoring metrics and other methods for analyzing neural information flow in simulated single-neuron and population data, finding discrete dynamic Bayesian networks to be the most consistent.

Bootstrap-based criteria for identifying differences between learned Bayesian networks

This paper develops bootstrap-based criteria to identify meaningful differences between Bayesian networks and demonstrates their effectiveness using simulated data.