β-empirical Bayes inference and model diagnosis of microarray data
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
BMC Bioinformatics 2012, 13:135 doi:10.1186/1471-2105-13-135Published: 19 June 2012
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.
Format: PDF Size: 26KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 2 :
The R-code that was used in the analysis. Details of the implementation of SparSNP and other supplementary results.
Format: ZIP Size: 6KB Download file