Statistical Methods for Microarray Data Analysis

Methods and Protocols

Editors:

ISBN: 978-1-60327-336-7 (Print) 978-1-60327-337-4 (Online)

Table of contents (12 protocols)

  1. Front Matter

    Pages i-xi

  2. No Access

    Book Protocol

    Pages 1-13

    What Statisticians Should Know About Microarray Gene Expression Technology

  3. No Access

    Book Protocol

    Pages 15-35

    Where Statistics and Molecular Microarray Experiments Biology Meet

  4. No Access

    Book Protocol

    Pages 37-55

    Multiple Hypothesis Testing: A Methodological Overview

  5. No Access

    Book Protocol

    Pages 57-71

    Gene Selection with the δ-Sequence Method

  6. No Access

    Book Protocol

    Pages 73-83

    Using of Normalizations for Gene Expression Analysis

  7. No Access

    Book Protocol

    Pages 85-101

    Constructing Multivariate Prognostic Gene Signatures with Censored Survival Data

  8. No Access

    Book Protocol

    Pages 103-119

    Clustering of Gene Expression Data Via Normal Mixture Models

  9. No Access

    Book Protocol

    Pages 121-139

    Network-Based Analysis of Multivariate Gene Expression Data

  10. No Access

    Book Protocol

    Pages 141-153

    Genomic Outlier Detection in High-Throughput Data Analysis

  11. No Access

    Book Protocol

    Pages 155-176

    Impact of Experimental Noise and Annotation Imprecision on Data Quality in Microarray Experiments

  12. No Access

    Book Protocol

    Pages 177-191

    Aggregation Effect in Microarray Data Analysis

  13. No Access

    Book Protocol

    Pages 193-208

    Test for Normality of the Gene Expression Data

  14. Back Matter

    Pages 209-212