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008			160212s2016 xxk| s |||| 0|eng d
020			_a9781447153108
040			_aES-MaUEC
050		4	_aQH430 _b.F766 2016
100	1		_aFrommlet, Florian _0Local _996509
245	1	0	_aPhenotypes and Genotypes : _bThe Search for Influential Genes _cby Florian Frommlet, Małgorzata Bogdan, David Ramsey
250			_a1st ed.
260			_aLondon _bSpringer London _c2016
300			_a1 recurso en línea (XII, 222 páginas) _b33 ilustraciones, 20 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aComputational Biology _x1568-2684 _v18
520	3		_aThis timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion. Topics and features: Presents a thorough introduction to the theoretical background to studies of genetic association (both genetic and statistical) Reviews the latest advances in the field, highlighting the advantages and shortcomings of the currently most commonly used methods Illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data Discusses open challenges that remain to be solved in the future Includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics This important work is essential reading for researchers and graduate students wishing to enter the field of statistical genetics and/or interested in statistical issues related to the analysis of high-dimensional data. No prior background knowledge of genetics is required, although some basic mathematical and computer science skills are assumed. Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelligent Systems at the Medical University of Vienna, Austria. Dr. Małgorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wrocław University, Poland. Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wrocław University of Technology, Poland.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER,
650		7	_aBioinformática _2embne _9160489
650	0	7	_aEstadística _2embne _9138934
700	1		_aBogdan, Małgorzata _0Local _996510
700	1		_aRamsey, David. _932236 _0comprobar BNE20030703235
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4471-5310-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9781447153108
907			_a.b12936613 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gxxk _h0
945			_aQH430 .F766 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i1158158x _z06-04-17
999			_c84383 _d84383 _x1