{"product_id":"9783642240065","title":"Use R!: Order-Restricted Analysis of Microarray Data","description":"\u003ch1\u003eUse R!: Order-Restricted Analysis of Microarray Data\u003c\/h1\u003e \u003ch2\u003eLin, Dan; Shkedy, Ziv; Yekutieli, Daniel; Amaratunga, Dhammika; Bijnens, Luc\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics\/bioinformatics graduate students.\u003c\/p\u003e\u003cp\u003ePart I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book.\u003c\/p\u003e\u003cp\u003ePart II is the core of the book, in which we focus on the analysis of dose-response microarray data. Methodological topics discussed include:\u003c\/p\u003e\u003cp\u003e•             Multiplicity adjustment\u003c\/p\u003e\u003cp\u003e•             Test statistics and procedures for the analysis of dose-response microarray data\u003c\/p\u003e\u003cp\u003e•             Resampling-based inference and use of the SAM method for small-variance genes in the data\u003c\/p\u003e\u003cp\u003e•             Identification and classification of dose-response curve shapes\u003c\/p\u003e\u003cp\u003e•             Clustering of order-restricted (but not necessarily monotone) dose-response profiles\u003c\/p\u003e\u003cp\u003e•             Gene set analysis to facilitate the interpretation of microarray results\u003c\/p\u003e\u003cp\u003e•             Hierarchical Bayesian models and Bayesian variable selection\u003c\/p\u003e\u003cp\u003e•             Non-linear models for dose-response microarray data\u003c\/p\u003e\u003cp\u003e•             Multiple contrast tests\u003c\/p\u003e\u003cp\u003e•             Multiple confidence intervals for selected parameters adjusted for the false coverage-statement rate\u003c\/p\u003e\u003cp\u003eAll methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2012-08-26\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783642240065\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-642-24007-2\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 282\u003c\/p\u003e ","brand":"Springer Berlin Heidelberg","offers":[{"title":"Default Title","offer_id":46541724319884,"sku":"9783642240065","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783642240065.jpg?v=1775747714","url":"https:\/\/lateknightbooks.com\/products\/9783642240065","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}