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001 978-1-4471-5310-8
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008 160212s2016 xxk| s |||| 0|eng d
020 _a9781447153108
_9978-1-4471-5310-8
024 7 _a10.1007/978-1-4471-5310-8
_2doi
050 4 _aQH324.2-324.25
072 7 _aPSA
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM014000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aFrommlet, Florian.
_eauthor.
245 1 0 _aPhenotypes and Genotypes
_h[electronic resource] :
_bThe Search for Influential Genes /
_cby Florian Frommlet, Ma�gorzata Bogdan, David Ramsey.
250 _a1st ed. 2016.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2016.
300 _aXII, 222 p. 33 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aComputational Biology,
_x1568-2684 ;
_v18
520 _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. Ma�gorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wroc�aw University, Poland. Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wroc�aw University of Technology, Poland.
650 0 _aComputer science.
650 0 _aBioinformatics.
650 0 _aStatistics.
650 1 4 _aComputer Science.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aBioinformatics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
700 1 _aBogdan, Ma�gorzata.
_eauthor.
700 1 _aRamsey, David.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447153092
830 0 _aComputational Biology,
_x1568-2684 ;
_v18
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-5310-8
912 _aZDB-2-SCS
942 _cEBK
999 _c54738
_d54738