Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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In den WarenkorbZustand: New. pp. 376 Illus.
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 360 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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In den WarenkorbGebunden. Zustand: New. Includes supplementary material: sn.pub/extrasIn Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Demonstrates how to analyze quantitative trait data using various methods and software for the detection and fine mapping of quantitative trait loci. This book guides investigators from the design stage of a project, providing explanations of how to proceed with the specific analysis, to find and use appropriate software, and to interpret results. Editor(s): Camp, Nicola J.; Cox, Angela. Series: Methods in Molecular Biology. Num Pages: 360 pages, biography. BIC Classification: PSAK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 22. Weight in Grams: 704. . 2002. 2002nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
Buch. Zustand: Neu. Neuware - In Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL). Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and variations in method ease the way to understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov Chain Monte Carlo method for joint linkage and segregation analysis. Statistical methods for the analysis of quantitative trait locus (QTL), in conjunction with genome-wide screening technologies, are today yielding exciting results in the study of human disease, experimental organisms, and agriculture. In Quantitative Trait Loci: Methods and Protocols, Drs. Nicola Camp and Angela Cox have assembled a highly experienced panel of statistical geneticists who demonstrate in a step-by-step fashion how to use this powerful methodology and associated software for the detection and fine mapping of quantitative trait loci. Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and useful variations and/or extensions to standard methods are included that ease the reader toward understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov chain Monte Carlo method for joint linkage and segregation analysis. Up-to-date and highly practical, Quantitative Trait Loci: Methods and Protocols makes available to nonmathematical investigators a step-by-step guide to the productive use today of all the latest techniques for localizing genes involved in complex quantitative traits.