| Advances to Bayesian network inference for generating causal networks from observational biological data J Yu, VA Smith, PP Wang, AJ Hartemink, ED Jarvis Bioinformatics 20 (18), 3594-3603, 2004 | 912 | 2004 |
| Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system A Koussounadis, SP Langdon, IH Um, DJ Harrison, VA Smith Scientific reports 5 (1), 10775, 2015 | 753 | 2015 |
| Evaluating functional network inference using simulations of complex biological systems VA Smith, ED Jarvis, AJ Hartemink Bioinformatics 18 (suppl_1), S216-S224, 2002 | 197 | 2002 |
| Computational inference of neural information flow networks VA Smith, J Yu, TV Smulders, AJ Hartemink, ED Jarvis PLoS Computational Biology 2 (11), e161, 2006 | 194 | 2006 |
| Using Bayesian network inference algorithms to recover molecular genetic regulatory networks J Yu, VA Smith, PP Wang, AJ Hartemink, ED Jarvis International conference on systems biology 2002, 2002 | 122 | 2002 |
| Revealing ecological networks using Bayesian network inference algorithms I Milns, CM Beale, VA Smith Ecology 91 (7), 1892-1899, 2010 | 103 | 2010 |
| A role of her own: female cowbirds, Molothrus ater, influence the development and outcome of song learning VA Smith, AP King, MJ West Animal Behaviour 60 (5), 599-609, 2000 | 94 | 2000 |
| Influence of network topology and data collection on network inference VA Smith, ED Jarvis, AJ Hartemink Pacific Symposium on Biocomputing 8, 164-175, 2003 | 70 | 2003 |
| The context of social learning: association patterns in a captive flock of brown-headed cowbirds VA Smith, AP King, MJ West Animal Behaviour 63 (1), 23-35, 2002 | 64 | 2002 |
| A framework for integrating the songbird brain E Jarvis, V Smith, K Wada, M Rivas, M McElroy, T Smulders, P Carninci, ... Journal of Comparative Physiology A 188, 961-980, 2002 | 63 | 2002 |
| The role of multidimensional poverty in antibiotic misuse: a mixed-methods study of self-medication and non-adherence in Kenya, Tanzania, and Uganda DL Green, K Keenan, KJ Fredricks, SI Huque, MF Mushi, C Kansiime, ... The Lancet Global Health 11 (1), e59-e68, 2023 | 57 | 2023 |
| Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data A Aderhold, D Husmeier, JJ Lennon, CM Beale, VA Smith Ecological Informatics 11, 55-64, 2012 | 51 | 2012 |
| Chemotherapy-induced dynamic gene expression changes in vivo are prognostic in ovarian cancer A Koussounadis, SP Langdon, DJ Harrison, VA Smith British journal of cancer 110 (12), 2975-2984, 2014 | 36 | 2014 |
| Cancer systems biology D Faratian, JL Bown, VA Smith, SP Langdon, DJ Harrison Systems Biology in Drug Discovery and Development: Methods and Protocols …, 2010 | 33 | 2010 |
| Protocol for an interdisciplinary cross-sectional study investigating the social, biological and community-level drivers of antimicrobial resistance (AMR): Holistic Approach to … BB Asiimwe, J Kiiru, SE Mshana, S Neema, K Keenan, M Kesby, ... BMJ open 11 (3), e041418, 2021 | 31 | 2021 |
| Random graphs with arbitrary clustering and their applications P Mann, VA Smith, JBO Mitchell, S Dobson Physical Review E 103 (1), 012309, 2021 | 23 | 2021 |
| Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models E Hui, R Stafford, IM Matthews, VA Smith Ecological Informatics 68, 101539, 2022 | 20 | 2022 |
| Bayesian Network Analysis reveals resilience of the jellyfish Aurelia aurita to an Irish Sea regime shift EG Mitchell, MI Wallace, VA Smith, AA Wiesenthal, AS Brierley Scientific Reports 11 (1), 3707, 2021 | 20 | 2021 |
| Testing measures of animal social association by computer simulation D White, VA Smith Behaviour 144 (11), 1447-1468, 2007 | 19 | 2007 |
| Percolation in random graphs with higher-order clustering P Mann, VA Smith, JBO Mitchell, S Dobson Physical Review E 103 (1), 012313, 2021 | 18 | 2021 |
Alexander J. HarteminkProfessor of Computer Science, Duke UniversityZweryfikowany adres z cs.duke.edu