Bayesian DNA copy number analysis
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* Corresponding author: Paola MV Rancoita paola@idsia.ch
1 Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Galleria 2, 6928 Manno-Lugano, Switzerland
2 Laboratory of Experimental Oncology, Oncology Institute of Southern Switzerland (IOSI), via Vela 6, 6500 Bellinzona, Switzerland
3 Dipartimento di Matematica, Università degli Studi di Milano, via Saldini 50, 20137 Milano, Italy
4 RSISE, ANU and SML, NICTA, Canberra, ACT, 0200, Australia
BMC Bioinformatics 2009, 10:10 doi:10.1186/1471-2105-10-10
Published: 8 January 2009Additional files
Additional file 1:
mBPCR source code. This zipped file contains the source code of the mBPCR algorithm in R, including help files, sample data and examples.
Format: ZIP Size: 318KB Download file
Additional file 2:
Supplementary material. This file contains a brief description of the dynamic program used to implement the method, a formal definition of some error measure used, some supplementary tables and some supplementary figures.
Format: PDF Size: 1.4MB Download file
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