SConES

Main content

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.  (ZIP, 350 KB)

Code

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

Reference

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Chloé-Agathe Azencott, Dominik Grimm, Mahito Sugiyama, Yoshinobu Kawahara and Karsten Borgwardt
Efficient network-guided multi-locus association mapping with graph cuts,
Accepted at ISMB 2013 and Bioinformatics (2013) 29 (13): i171-i179. (Online)

@article{Azencott01072013,
author = {Azencott, Chlo\'{e}-Agathe and Grimm, Dominik and Sugiyama, Mahito and Kawahara, Yoshinobu and Borgwardt, Karsten M.},
title = {Efficient network-guided multi-locus association mapping with graph cuts},
volume = {29},
number = {13},
pages = {i171-i179},
year = {2013},
doi = "10.1093/bioinformatics/btt238",
URL = {http://bioinformatics.oxfordjournals.org/content/29/13/i171.abstract},
eprint = {http://bioinformatics.oxfordjournals.org/content/29/13/i171.full.pdf+html},
journal = {Bioinformatics}
}

 
 
Page URL: https://www.bsse.ethz.ch/mlcb/research/bioinformatics-and-computational-biology/scones.html
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