David L. Wild
According to our database1,
David L. Wild
authored at least 28 papers
between 1999 and 2020.
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Bibliography
2020
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification.
Adv. Data Anal. Classif., 2020
2018
Bringing numerous methods for expression and promoter analysis to a public cloud computing service.
Bioinform., 2018
2016
Comput. Phys. Commun., 2016
2015
Bioinform., 2015
2013
Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measure.
Bioinform., 2013
2012
Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks.
Bioinform., 2012
2011
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements.
BMC Bioinform., 2011
2010
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.
J. Comput. Biol., 2010
Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models.
Proceedings of the Learning and Inference in Computational Systems Biology., 2010
2009
Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
An approach to pathway reconstruction using whole genome metabolic models and sensitive sequence searching.
J. Integr. Bioinform., 2009
BMC Bioinform., 2009
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.
Proceedings of the Research in Computational Molecular Biology, 2009
Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series.
Proceedings of the German Conference on Bioinformatics 2009, 2009
2008
Source Code Biol. Medicine, 2008
2006
Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006
Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model.
Proceedings of the Biocomputing 2006, 2006
2005
Bioinform., 2005
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.
Bioinform., 2005
2004
Bioinform., 2004
Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models.
Proceedings of the Biocomputing 2004, 2004
The Status of Structural Genomics Defined Through the Analysis of Current Targets and Structures.
Proceedings of the Biocomputing 2004, 2004
Proceedings of the Machine Learning, 2004
Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2002
Bioinform., 2002
1999
Protein analyst - a distributed object environment for protein sequence and structure analysis.
Bioinform., 1999