Phenotypes and Genotypes: The Search for Influential Genes: Computational Biology, cartea 18
Autor Florian Frommlet, Małgorzata Bogdan, David Ramseyen Limba Engleză Hardback – 24 feb 2016
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Specificații
ISBN-13: 9781447153092
ISBN-10: 144715309X
Pagini: 300
Ilustrații: XII, 222 p. 33 illus., 20 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.51 kg
Ediția:1st ed. 2016
Editura: SPRINGER LONDON
Colecția Springer
Seria Computational Biology
Locul publicării:London, United Kingdom
ISBN-10: 144715309X
Pagini: 300
Ilustrații: XII, 222 p. 33 illus., 20 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.51 kg
Ediția:1st ed. 2016
Editura: SPRINGER LONDON
Colecția Springer
Seria Computational Biology
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
Introduction.- A Primer in Genetics.- Statistical Methods in High Dimensions.- Statistical Methods of QTL Mapping for Experimental Populations.- Statistical Analysis of GWAS.- Appendix A: Basic Statistical Distributions.- Appendix B: Basic Methods of Estimation.- Appendix C: Principles of Statistical Testing.- Appendix D: Elements of Bayesian Statistics.- Appendix E: Other Statistical Methods.
Notă biografică
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.
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.
Textul de pe ultima copertă
This timely text presents a comprehensive guide to geneticassociation, a new and rapidly expanding field that aims to elucidate how ourgenetic code (genotypes) influences the traits we possess (phenotypes). Thebook provides a detailed review of methods of gene mapping used in associationwith experimental crosses, as well as genome-wide association studies. Emphasisis placed on model selection procedures for analyzing data from large-scalegenome scans based on specifically designed modifications of the Bayesianinformation criterion.
Topics and features:
Dr. Florian Frommlet is a researcher in the Center forMedical Statistics, Informatics, and Intelligent Systems at the MedicalUniversity of Vienna, Austria. Dr. Małgorzata Bogdan is an Associate Professorin the Institute of Mathematics at Wrocław University, Poland. Dr. David Ramseyis a Senior Lecturer in the Department of Operations Research at WrocławUniversity of Technology, Poland.
Topics and features:
- Presents a thorough introduction to the theoreticalbackground to studies of genetic association (both genetic and statistical)
- Reviews the latest advances in the field, highlighting theadvantages and shortcomings of the currently most commonly used methods
- Illustrates the properties of methods for mappingquantitative trait loci using computer simulations and the analysis of realdata
- Discusses open challenges that remain to be solved in thefuture
- Includes an extensive statistical appendix as a referencefor those who are not totally familiar with the fundamentals of statistics
Dr. Florian Frommlet is a researcher in the Center forMedical Statistics, Informatics, and Intelligent Systems at the MedicalUniversity of Vienna, Austria. Dr. Małgorzata Bogdan is an Associate Professorin the Institute of Mathematics at Wrocław University, Poland. Dr. David Ramseyis a Senior Lecturer in the Department of Operations Research at WrocławUniversity of Technology, Poland.
Caracteristici
Introduces the major concepts of Quantitative Trait Loci mapping Discusses the methodology of Quantitative Trait Loci mapping in experimental populations Describes the methods for Genome Wide Association Studies and related multiple testing and model selection problems Includes supplementary material: sn.pub/extras