Open Access Highly Accessed Research article

Multiple-input multiple-output causal strategies for gene selection

Gianluca Bontempi1*, Benjamin Haibe-Kains2, Christine Desmedt3, Christos Sotiriou3 and John Quackenbush2

  • * Corresponding author: Gianluca Bontempi gbonte@ulb.ac.be

  • † Equal contributors

Author Affiliations

1 Machine Learning Group, Computer Science Department, Université Libre de Bruxelles, Belgium

2 Computational Biology and Functional Genomics Laboratory, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, USA

3 Breast Cancer Translational Research Laboratory, Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Belgium

For all author emails, please log on.

BMC Bioinformatics 2011, 12:458  doi:10.1186/1471-2105-12-458

Published: 25 November 2011

Additional files

Additional file 1:

Spreadsheet containing the normalized enrichment scores with respect to increasing λ as computed by preranked GSEA (gsea_res_all.csv).

Format: CSV Size: 9KB Download file

Open Data

Additional file 2:

Archive containing the output files computed by the preranked GSEA for λ ∈ {0.1,0.2,0.3,0.4,0.5} (GSEA_MIMO_part1.zip).

Format: ZIP Size: 10.6MB Download file or display content in a new window

Open Data

Additional file 3:

Archive containing the output files computed by the preranked GSEA for λ ∈ {0.6,0.7,0.8,0.9,1.0,2.0} (GSEA_MIMO_part2.zip).

Format: ZIP Size: 10.6MB Download file or display content in a new window

Open Data