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03050aam a2200337 i 4500 001 41B83AAAC17411E49647BAD4DAD10320 003 SILO 005 20150303010228 008 140901s2015 nyua b 001 0deng d 010 $a 2014953909 020 $a 9781493921553 (ebk.) 020 $a 149392155X (ebk.) 020 $a 9781493921546 020 $a 1493921541 035 $a (OCoLC)889729407 040 $a YDXCP $b eng $e rda $c YDXCP $d BTCTA $d OCLCQ $d HNK $d NUI $d SILO 245 00 $a Epistasis : $b methods and protocols / $c edited by Jason H. Moore, Scott M. Williams. 264 1 $a New York : $b Humana Press, $c [2015] 300 $a x, 350 pages : $b illustrations (some color) ; $c 27 cm 490 1 $a Methods in Molecular Biology, $x 1064-3745 ; $v 1253 490 1 $a Springer protocols, $x 1949-2448 504 $a Includes bibliographical references and index. 505 00 $t Epistasis analysis using artificial intelligence / $r Jason H. Moore and Doug P. Hill. $t Finding the epistasis needles in the genome-wide haystack / $r Marylyn D. Ritchie -- $t Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits / $r Li Ma, Alon Keinan, and Andrew G. Clark -- $t Epistasis for quantitative traits in Drosophila / $r Trudy F. C. Mackay -- $t Epistasis in the risk of human neuropsychiatric disease / $r Scott M. Williams -- $t On the partitioning of genetic variance with epistasis / $r JoseÌ M. AÌlvarez-Castro and Arnaud Le Rouzic -- $t Measuring gene interactions / $r Thomas F. Hansen -- $t Two rules for the detection and quantification of epistasis and other interaction effects / $r GuÌnter P. Wagner -- $t Direct approach to modeling epistasis / $r Rong-Cai Yang -- $t Capacitating epistasis - detection and role in the genetic architecture of complex traits / $r Mats E. Pettersson and OÌrjan Carlborg -- $t Compositional epistasis : an epidemiologic perspective / $r Etsuji Suzuki and Tyler J. VanderWeele -- $t Identification of genome-wide SNP-SNP and SNP-clinical boolean interactions in age-related macular degeneration / $r Carlos Riveros ... [et al.] -- $t Epistasis analysis using information theory / $r Jason H. Moore and Ting Hu -- $t Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network / $r Christian Darabos and Jason H. Moore -- $t Network theory for data-driven epistasis networks / $r Caleb A. Lareau and Brett A. McKinney -- $t Epistasis analysis using multifactor dimensionality reduction / $r Jason H. Moore and Peter C. Andrews -- $t Epistasis analysis using ReliefF / $r Jason H. Moore -- $t Epistasis analysis using artificial intelligence / $r Jason H. Moore and Doug P. Hill. 650 0 $a Epistasis (Genetics) $v Laboratory manuals. 700 1 $a Moore, Jason H., $e editor. 700 1 $a Williams, Scott M. $q (Scott Matthew), $e editor. 830 0 $a Methods in molecular biology (Clifton, N.J.) ; $v v. 1253, $x 1064-3745. 830 0 $a Springer protocols (Series), $x 1949-2448. 941 $a 1 952 $l OVUX522 $d 20171223025853.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=41B83AAAC17411E49647BAD4DAD10320Initiate Another SILO Locator Search