Open Access Highly Accessed Software

RS-SNP: a random-set method for genome-wide association studies

Annarita D'Addabbo1, Orazio Palmieri2, Anna Latiano2, Vito Annese2, Sayan Mukherjee3 and Nicola Ancona1*

Author Affiliations

1 Istituto di Studi sui Sistemi Intelligenti per l'Automazione - CNR, Via Amendola 122/D-I, 70126 Bari, Italy

2 Ospedale "Casa Sollievo della Sofferenza" IRCCS, Laboratorio di Gastroenterologia, Foggia, Italy

3 Departments of Statistical Science, Computer Science, Mathematics, Institute for Genome Sciences & Policy, Duke University, Durham, NC, USA

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BMC Genomics 2011, 12:166  doi:10.1186/1471-2164-12-166

Published: 30 March 2011

Additional files

Additional file 1:

Experimental results of RS-SNP and GENGEN on MSigDB C2 collection. Tables reporting the experimental results obtained by the proposed method, RS-SNP, and by GENGEN on the MSigDB C2 pathway collection.

Format: PDF Size: 106KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Experimental results of RS-SNP and GENGEN on MSigDB C5 collection. Tables reporting the experimental results obtained by the proposed method, RS-SNP, and by GENGEN on the MSigDB C5 pathway collection.

Format: PDF Size: 127KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

RS-SNP package. The proposed RS-SNP software is contained in this compressed file, together with: • the help documentation, • example files with the SNP-gene mapping and gene-pathway mapping; • example of input files.

Format: ZIP Size: 3.1MB Download file

Open Data