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Open Access Methodology article

β-empirical Bayes inference and model diagnosis of microarray data

Mohammad Manir Hossain Mollah1*, M Nurul Haque Mollah2 and Hirohisa Kishino1*

Author Affiliations

1 Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan

2 Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh

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BMC Bioinformatics 2012, 13:135  doi:10.1186/1471-2105-13-135

Published: 19 June 2012

Additional files

Additional file 1 :

Figure S1. An example of a SparSNP workflow, covering basic quality control, training the model on discovery data, applying the model to validation data, plotting the results, and post-processing. Figure S2. Selection of the tuning parameter β by cross validation. (a) Selection of β by cross validation for head and neck cancer data. (b) Selection of β by cross validation for lung cancer data.

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Open Data

Additional file 2 :

The R-code that was used in the analysis. Details of the implementation of SparSNP and other supplementary results.

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Open Data