Analysis of Microarray Gene Expression Data

  • Mei-Ling Ting Lee

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Genome Probing Using Microarrays

  3. Statistical Models and Analysis

  4. Unsupervised Exploratory Analysis

  5. Supervised Learning Methods

About this book

Introduction

After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.

Keywords

ANOVA DNA Microarray biology classification cluster analysis data mining gene expression genes life sciences

Authors and affiliations

  • Mei-Ling Ting Lee
    • 1
    • 2
  1. 1.Channing Laboratory Department of MedicineBrigham and Women’s HospitalBostonUSA
  2. 2.Harvard Medical SchoolBostonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b129531
  • Copyright Information Kluwer Academic Publishers 2004
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-7087-1
  • Online ISBN 978-1-4020-7788-3
  • About this book
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