Open Access Highly Accessed Methodology article

Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements

Emma J Cooke1, Richard S Savage2, Paul DW Kirk2, Robert Darkins2 and David L Wild2*

Author Affiliations

1 Department of Chemistry, University of Warwick, Coventry, UK

2 Systems Biology Centre, University of Warwick, Coventry, UK

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BMC Bioinformatics 2011, 12:399  doi:10.1186/1471-2105-12-399

Published: 13 October 2011

Additional files

Additional file 1:

The clustering method of Zhou et al. Further details for running the method of Zhou et al.

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Additional file 2:

Genes lists and cluster plots. Gene lists and cluster eps files for the S. cerevisiae 1, S. cerevisiae 2, E. coli and H. sapiens data sets using BHC with both squared exponential (BHC-SE) and cubic (BHC-C) covariances. For each covariance option, results are given for the single model likelihood, mixture model likelihood, and including replicate information.

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Additional file 3:

GO annotation matrix for S. cerevisiae 1 data set clustered using BHC with cubic spline covariance. A large version of Figure 2, left panel.

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Additional file 4:

GO annotation matrix for S. cerevisiae 1 data set clustered using SplineCluster with linear splines. A large version of Figure 2, right panel.

Format: PDF Size: 98KB Download file

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Open Data