  Methodology articleA Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray ExperimentsHyungwon Choi1 1 Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA 2 Departments of Pathology and Urology, University of Michigan, Ann Arbor, MI, USA 3 Department of Statistics and Huck Institute for Life Sciences, Penn State University, University Park, PA, USA
BMC Bioinformatics 2007, 8:364doi:10.1186/1471-2105-8-364
Additional filesAdditional file 1: Dendrogram of samples from liver data using the Conlon signature. This is a heatmap representing the hierarchical clustering results of the data in [12] using the genes selected by the method of [13]. Format: PDF Size: 40KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 2: Dendrogram of samples from lung data using the Conlon signature. This is a heatmap representing the hierarchical clustering results of the data in [11] using the genes selected by the method of [13]. Format: PDF Size: 22KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 3: Dendrogram of samples from prostate data using the Conlon signature. This is a heatmap representing the hierarchical clustering results of the data in [10] using the genes selected by the method of [13]. Format: PDF Size: 21KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 4: Derivation of conditional distributions for the MCMC-based POE algorithm. This file contains the details of the full conditional distributions from which samples of posterior distribution are drawn. Format: PDF Size: 70KB Download file This file can be viewed with: Adobe Acrobat Reader |
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