| Analysis of the Genome and Transcriptome of Cryptococcus neoformans var. grubii Reveals Complex RNA Expression and Microevolution Leading to Virulence … G Janbon, KL Ormerod, D Paulet, EJ Byrnes III, V Yadav, G Chatterjee, ... PLoS genetics 10 (4), e1004261, 2014 | 399 | 2014 |
| Classification based upon gene expression data: bias and precision of error rates IA Wood, PM Visscher, KL Mengersen Bioinformatics 23 (11), 1363-1370, 2007 | 99 | 2007 |
| Microevolution of Cryptococcus neoformans Driven by Massive Tandem Gene Amplification EWL Chow, CA Morrow, JT Djordjevic, IA Wood, JA Fraser Molecular Biology and Evolution 29 (8), 1987-2000, 2012 | 59 | 2012 |
| Investigation of the relationship between smoking and appendicitis in Australian twins C Oldmeadow, I Wood, K Mengersen, PM Visscher, NG Martin, DL Duffy Annals of epidemiology 18 (8), 631-636, 2008 | 49 | 2008 |
| Nonlinear features for single-channel diagnosis of sleep-disordered breathing diseases SI Rathnayake, IA Wood, UR Abeyratne, C Hukins IEEE Transactions on Biomedical Engineering 57 (8), 1973-1981, 2010 | 37 | 2010 |
| A meta-analytic assessment of a Thyroglobulin marker for marbling in beef cattle IA Wood, G Moser, DL Burrell, KL Mengersen, DJS Hetzel Genetics Selection Evolution 38 (5), 479-494, 2006 | 35 | 2006 |
| Approximating the tail of the Anderson–Darling distribution AW Grace, IA Wood Computational Statistics & Data Analysis 56 (12), 4301-4311, 2012 | 29 | 2012 |
| A robust permutation test for quantitative SILAC proteomics experiments HD Nguyen, IA Wood, MM Hill Journal of Integrated OMICS 2 (2), 80-93, 2012 | 27 | 2012 |
| On selection biases with prediction rules formed from gene expression data JX Zhu, GJ McLachlan, LBT Jones, IA Wood Journal of Statistical Planning and Inference 138 (2), 374-386, 2008 | 25 | 2008 |
| Bayesian inference in estimation of distribution algorithms M Gallagher, I Wood, J Keith, G Sofronov 2007 IEEE Congress on Evolutionary Computation, 127-133, 2007 | 23 | 2007 |
| Mixtures of spatial spline regressions for clustering and classification HD Nguyen, GJ McLachlan, IA Wood Computational Statistics & Data Analysis 93, 76-85, 2016 | 20 | 2016 |
| Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning M Gollapalli, X Li, I Wood Data & Knowledge Engineering 87, 405-424, 2013 | 17 | 2013 |
| Approximate record matching using hash grams M Gollapalli, X Li, I Wood, G Governatori 2011 IEEE 11th International Conference on Data Mining Workshops, 504-511, 2011 | 16 | 2011 |
| Direct feature evaluation in black-box optimization using problem transformations S Saleem, M Gallagher, I Wood Evolutionary computation 27 (1), 75-98, 2019 | 14 | 2019 |
| InSpectra–A platform for identifying emerging chemical threats M Feraud, JW O’Brien, S Samanipour, P Dewapriya, D van Herwerden, ... Journal of Hazardous Materials 455, 131486, 2023 | 12 | 2023 |
| ORAI1 regulates sustained cytosolic free calcium fluctuations during breast cancer cell apoptosis and apoptotic resistance via a STIM1 independent pathway JJ Bassett, M Robitaille, AA Peters, AHL Bong, MW Taing, IA Wood, ... The FASEB Journal 36 (1), e22108, 2022 | 12 | 2022 |
| Characterizing Uncertainty in High-Density Maps from Multiparental Populations D Ahfock, I Wood, S Stephen, CR Cavanagh, BE Huang Genetics 198, 117-128, 2014 | 12 | 2014 |
| Ontology guided data linkage framework for discovering meaningful data facts M Gollapalli, X Li, I Wood, G Governatori Advanced Data Mining and Applications: 7th International Conference, ADMA …, 2011 | 12 | 2011 |
| A block successive lower-bound maximization algorithm for the maximum pseudo-likelihood estimation of fully visible boltzmann machines HD Nguyen, IA Wood Neural computation 28 (3), 485-492, 2016 | 9 | 2016 |
| Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines HD Nguyen, IA Wood IEEE Transactions on Neural Networks and Learning Systems, 2015 | 8 | 2015 |
Kerrie MengersenQueensland University of Technology在 qut.edu.au 的电子邮件经过验证
