V Anne Smith
V Anne Smith
School of Biology, University of St Andrews
Verified email at st-andrews.ac.uk
Cited by
Cited by
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
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), 1-9, 2015
Evaluating functional network inference using simulations of complex biological systems
VA Smith, ED Jarvis, AJ Hartemink
Bioinformatics 18 (suppl_1), S216-S224, 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
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
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
Revealing ecological networks using Bayesian network inference algorithms
I Milns, CM Beale, VA Smith
Ecology 91 (7), 1892-1899, 2010
Influence of network topology and data collection on network inference
VA Smith, ED Jarvis, AJ Hartemink
Pacific Symposium on Biocomputing 8, 164-175, 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 (11-12), 961-980, 2002
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
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
Cancer systems biology
D Faratian, JL Bown, VA Smith, SP Langdon, DJ Harrison
Systems Biology in Drug Discovery and Development, 245-263, 2010
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
1st Year Practicals: their role in developing future bioscientists
D Adams, S Arkle, R Bevan, G Boachie-Ansah, T Bradshaw, G Cameron, ...
Leeds, the Higher education Academy Centre for Bioscience.[online][Accessed …, 2008
Testing measures of animal social association by computer simulation
VA Smith, D White
Behaviour 144 (11), 1447-1468, 2007
The CARMEN e-Science pilot project: Neuroinformatics work packages
LS Smith, J Austin, S Baker, R Borisyuk, S Eglen, J Feng, K Gurney, ...
Proceedings of the UK e-Science All Hands Meeting, 591-598, 2007
An analytical approach differentiates between individual and collective cancer invasion
E Katz, W Verleyen, CG Blackmore, M Edward, VA Smith, DJ Harrison
Analytical cellular pathology 34 (1, 2), 35-48, 2011
Interactive molecular networks obtained by computer-aided conversion of microarray data from brains of alcohol-drinking rats
M F, VA Smith, A Fogtman, WH Sommer, Leonardi-Essmann, ...
Pharmacopsychiatry 42 (1), S118-S128, 2009
Predicting ecological regime shift under climate change: New modelling techniques and potential of molecular-based approaches
R Stafford, VA Smith, D Husmeier, T Grima, BA Guinn
Current Zoology 59 (3), 403-417, 2013
Causal pattern recovery from neural spike train data using the Snap Shot Score
C Echtermeyer, TV Smulders, VA Smith
Journal of computational neuroscience 29 (1-2), 231-252, 2010
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