SConES

Enlarged view: Logo of the Bioinformatics journal

Chloe-Agathe Azencott, Dominik Grimm, Mahito Sugiyama, Yoshinobu Kawahara and Karsten Borgwardt

Efficient network-guided multi-locus association mapping with graph cuts

Summary

SConES is a network-guided multi-locus association mapping methods. It allows for the discovery genetic loci that are maximally associated with a phenotype, and tend to be connected on an underlying network. This network can be constructed from a gene-gene interaction network (based on proximity), or in any way such that you believe that neighboring SNPs should tend to be selected together. Download (ZIP, 350 KB)

Code

Matlab code can be downloaded here: DownloadSConES code (ZIP, 350 KB)

Publication

Efficient network-guided multi-locus association mapping with graph cuts

Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara and Karsten Borgwardt
ISMB 2013 and Bioinformatics 2013, 29 (13): i171-i179
external pageOnline  |  ETH Research Collection  |  Project page including code

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