Open Access Highly Accessed Methodology article

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology

Steven M Hill123*, Richard M Neve4, Nora Bayani5, Wen-Lin Kuo5, Safiyyah Ziyad5, Paul T Spellman6, Joe W Gray6 and Sach Mukherjee123*

Author Affiliations

1 The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands

2 Centre for Complexity Science, University of Warwick, Coventry CV4 7AL, UK

3 Department of Statistics, University of Warwick, Coventry CV4 7AL, UK

4 Genentech Inc., San Francisco, CA 94080

5 Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720

6 Center for Spatial Systems Biomedicine, Oregon Health & Science University, Portland, OR 97239

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BMC Bioinformatics 2012, 13:94  doi:10.1186/1471-2105-13-94

Published: 11 May 2012

Additional files

Addtional file 1:

Cancer drug response application. Tables of proteins and cell lines included in the analysis, further details of the experimental procedure and Figure S1.

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