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Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFLJohn G. Taylor, Dirk HusmeierBioinformatics (Oxford, England)|October 6, 2005
Discriminating between rate heterogeneity and interspecific recombination in DNA sequence alignments with phylogenetic factorial hidden Markov modelsDirk HusmeierBioinformatics (Oxford, England)|November 25, 2003
Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networksDirk HusmeierStatistical Applications in Genetics and Molecular Biology|August 2, 2012
A non-homogeneous dynamic Bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biologyMarco Grzegorczyk, Dirk HusmeierFrontiers in Bioengineering and Biotechnology|December 5, 2015
Gradient Matching Methods for Computational Inference in Mechanistic Models for Systems Biology: A Review and Comparative AnalysisBenn Macdonald, Dirk HusmeierEURASIP Journal on Bioinformatics & Systems Biology|July 3, 2009
Modelling transcriptional regulation with a mixture of factor analyzers and variational Bayesian expectation maximizationKuang Lin, Dirk HusmeierBioinformatics (Oxford, England)|August 10, 2002
Detecting recombination with MCMCDirk Husmeier, Gráinne McGuireMolecular Biology and Evolution|March 20, 2003
Detecting recombination in 4-taxa DNA sequence alignments with Bayesian hidden Markov models and Markov chain Monte CarloDirk Husmeier, Gráinne McGuireBioinformatics (Oxford, England)|December 24, 2010
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genesMarco Grzegorczyk, Dirk HusmeierBioinformatics (Oxford, England)|February 16, 2002
A Bayesian approach to discriminate between alternative DNA sequence segmentationsDirk Husmeier, Frank WrightPageof 9