MISS: a non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis-Reference-Cited by-同舟云学术

MISS: a non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis

Published:2010-06-18 Issue:15 Volume:26 Page:1811-1818
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Brunel Helena,Gallardo-Chacón Joan-Josep,Buil Alfonso,Vallverdú Montserrat,Soria José Manuel,Caminal Pere,Perera Alexandre

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/26/15/1811/16893273/btq273.pdf

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4. Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium;Carlson;Am. J. Hum. Genet.,2004

5. Nonlinear feature selection by relevance feature vector machine;Cheng,2007

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