MISS: Nonlinear Genetic Association.

MISS

MISS is a a nonlinear methodology based on mutual information for genetic association.

The an information theoretic approach to genetic association, which has been integrated jointly with a feature selection algorithm. The algorithm was been tested on a synthetic data with a controlled phenotype and in the particular case of the F7 gene. This algorithm proposes a multi-target approach and unveils combinations of SNPs that explain more significant information of the phenotype than their individual polymorphisms.

Download:

  • The software package with documentation can be found here.
  • The paper describing MISS can be found here

Citation

  • Brunel, H.; Gallardo, J.; Buil, A.; Vallverdu, M.; Soria, J.; Caminal, P.; Perera, A. (2010). MISS: a non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis. Bioinformatics, 26, 1811-1818.