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Open Access Methodology article

Statistical method on nonrandom clustering with application to somatic mutations in cancer

Jingjing Ye1*, Adam Pavlicek2, Elizabeth A Lunney2, Paul A Rejto2 and Chi-Hse Teng13*

Author Affiliations

1 Global Pre-Clinical Statistics, Pfizer Global Research and Development, 10777 Science Center Drive, San Diego, CA, 92121, USA

2 Computational Biology Group, Oncology Research Unit, Pfizer Global Research and Development, San Diego, CA, 92121, USA

3 Statistics, Corporate Analytics, Amylin Pharmaceuticals Inc, 9360 Towne Centre Drive, San Diego, CA, 92121, USA

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BMC Bioinformatics 2010, 11:11  doi:10.1186/1471-2105-11-11

Published: 7 January 2010

Additional files

Additional file 1:

NMC. R source code of NMC algorithm.

Format: DOC Size: 45KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 2:

Poweranalysis. Analysis of minimum number of mutations required for NMC algorithm

Format: DOC Size: 34KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data