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Bioinformatics (Oxford, England)|February 28, 2006
Avoiding model selection bias in small-sample genomic datasetsDaniel Berrar, Ian Bradbury, Werner Dubitzky
BMC Bioinformatics|February 18, 2006
Instance-based concept learning from multiclass DNA microarray dataDaniel Berrar, Ian Bradbury, Werner Dubitzky
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 15, 2005
Survival trees for analyzing clinical outcome in lung adenocarcinomas based on gene expression profiles: identification of neogenin and diacylglycerol kinase alpha expression as critical factorsDaniel Berrar, Brian Sturgeon, Ian Bradbury, et al.
Journal of Clinical Monitoring and Computing|December 6, 2005
Towards data warehousing and mining of protein unfolding simulation dataDaniel Berrar, Frederic Stahl, Candida Silva, et al.
Briefings in Bioinformatics|March 23, 2011
Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them)Daniel Berrar, Peter Flach
BMC Systems Biology|September 11, 2015
Evaluating a common semi-mechanistic mathematical model of gene-regulatory networksAlexandru Mizeranschi, Huiru Zheng, Paul Thompson, et al.
BMC Bioinformatics|September 16, 2010
Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networksMartin T Swain, Johannes J Mandel, Werner Dubitzky
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2003
Multiclass cancer classification using gene expression profiling and probabilistic neural networksDaniel P Berrar, C Stephen Downes, Werner Dubitzky
Omics : a Journal of Integrative Biology|July 23, 2004
Protein folding and unfolding simulations: a new challenge for data miningRui M M Brito, Werner Dubitzky, J Rui Rodrigues
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