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Author:   David B. Allison ,  Grier P. Page ,  T. Mark Beasley ,  Jode W. Edwards
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.453kg
ISBN:  

9780367391737

ISBN 10:   0367391732
Pages:   392
Publication Date:   23 October 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Microarray Platforms and Blood Samples. Normalization of Microarray Data. Microarray Quality Control and Assessment. Epistemological Foundations of Statistical Methods for High-Dimensional Biology. The Role of Sample Size on Measures of Uncertainty and Power. Pooling Biological Samples in Microarray Experiments. Designing Microarrays for the Analysis of Gene Expressions. Overview of Standard Clustering Approaches for Gene Microarray Data Analysis. Cluster Stability. Dimensionality Reduction and Discrimination. Modeling Affymetrix Data at the Probe Level. Parametric Linear Models. The Use of Nonparametric Procedures in the Statistical Analysis of Microarray Data. Bayesian Analysis of Microarray Data. False Discovery Rate and Multiple Comparison Procedures. Using Standards to Facilitate Interoperation of Heterogeneous Microarray Databases and Analytic Tools. Post-Analysis Interpretation: What Do I Do with This Gene List? Combining High Dimensional Biological Data to Study Complex Diseases and Quantitative Traits.

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David B. Allison, Grier P. Page, T. Mark Beasley, Jode W. Edwards

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