Evaluating functional network inference using simulations of complex biological systems. - V. Anne Smith; Erich D. Jarvis; Alexander J. Hartemink (ISMB, 2002)

Influence of Network Topology and Data Collection on Network Inference. - V. Anne Smith; Erich D. Jarvis; Alexander J. Hartemink (Pacific Symposium on Biocomputing, 2003)

Advances to Bayesian network inference for generating causal networks from observational biological data. - Jing Yu; V. Anne Smith; Paul P. Wang; Alexander J. Hartemink; Erich D. Jarvis (Bioinform., 2004)

Computational Inference of Neural Information Flow Networks. - V. Anne Smith; Jing Yu; Tom V. Smulders; Alexander J. Hartemink; Erich D. Jarvis (PLoS Comput. Biol., 2006)

Evolving an Agent-Based Model to Probe Behavioral Rules in Flocks of Cowbirds. - V. Anne Smith (ALIFE, 2008)

Revealing Structure of Complex Biological Systems Using Bayesian Networks. - V. Anne Smith (Network Science, 2010)

Causal pattern recovery from neural spike train data using the Snap Shot Score. - Christoph Echtermeyer; Tom V. Smulders; V. Anne Smith (J. Comput. Neurosci., 2010)

Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data. - Andrej Aderhold; Dirk Husmeier; Jack J. Lennon; Colin M. Beale; V. Anne Smith (Ecol. Informatics, 2012)

Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes. - Andrej Aderhold; Dirk Husmeier; V. Anne Smith (AISTATS, 2013)

Inference of Circadian Regulatory Networks. - Marco Grzegorczyk; Andrej Aderhold; V. Anne Smith; Dirk Husmeier (IWBBIO, 2014)

MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data. - Athanasios Vogogias; Jessie Kennedy; Daniel Archambault; V. Anne Smith; Hannah Currant (CGVC, 2016)

BayesPiles: Visualisation Support for Bayesian Network Structure Learning. - Athanasios Vogogias; Jessie Kennedy; Daniel Archambault; Benjamin Bach; V. Anne Smith; Hannah Currant (ACM Trans. Intell. Syst. Technol., 2019)

Practical application of a Bayesian network approach to poultry epigenetics and stress. - Emiliano A. Videla Rodriguez; Fábio Pértille; Carlos Guerrero-Bosagna; John B. O. Mitchell; Per Jensen; V. Anne Smith (BMC Bioinform., 2022)

Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models. - Edwin Hui; Richard Stafford; Iain M. Matthews; V. Anne Smith (Ecol. Informatics, 2022)