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001			234918
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007			cr nn 008mamaa
008			141117s2015 xxu| s |||| 0|eng d
020			_a9781493921553
024	7		_a10.1007/978-1-4939-2155-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aEpistasis _bMethods and Protocols _cedited by Jason H. Moore, Scott M. Williams.
250			_a1st edition 2015
264		1	_aNew York, NY _bSpringer International Publishing _c2015
300			_a1 recurso en línea (X, 350 páginas) _b61 ilustraciones, 17 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1253
505	0		_aLong Term Selection Experiments: Epistasis and The Response To Selection -- Finding the Epistasis Needles in the Genome-Wide Haystack -- Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits -- Epistasis for Quantitative Traits in Drosophila -- Epistasis In The Risk Of Human Neuropsychiatric Disease -- On the Partitioning of Genetic Variance with Epistasis -- Measuring Gene Interactions -- Two Rules for the Detection and Quantification of Epistasis and other Interaction Effects -- Direct Approach to Modeling Epistasis -- Capacitating Epistasis  - Detection and Role in the Genetic Architecture of Complex Traits -- Compositional Epistasis: An Epidemiologic Perspective -- Identification Of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions In Age-Related Macular Degeneration -- Epistasis Analysis Using Information Theory -- Genome-Wide Epistasis and Pleiotropy Characterized by the Bipartite Human -- Network Theory for Data-Driven Epistasis Networks --  Epistasis Analysis Using Multifactor Dimensionality Reduction --  Epistasis Analysis Using ReliefF -- Epistasis Analysis Using Artificial Intelligence.
520			_aThis volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.   Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.
700	1		_aMoore, Jason H _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWilliams, Scott M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493921560
776	0	8	_iPrinted edition: _z9781493921546
776	0	8	_iPrinted edition: _z9781493942756
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-2155-3 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2015
999			_c234918 _d234918