Analysis of Microarray Gene Expression Data

Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee.

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 o...

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Bibliographic Details
Main Author: Mei-Ling Ting Lee (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Springer eBook Collection.
Subjects:
Biochemistry.
Statistics .
Biomathematics.
Human genetics.
Evolutionary biology.
Cancer research.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • DNA, RNA, Protein, and Gene Expression
  • Microarray Technology
  • Inherent Variability in Microarray Data
  • Background Noise
  • Transformation and Normalization
  • Missing Values in Microarray Data
  • Saturated Intensity Readings in Microarray Data
  • Experimental Design
  • Anova Models for Michrorray Data
  • Multiple Testing in Microarray Studies
  • Permutation Tests in Microarray Data
  • Bayesian Methods for Microarray Data
  • Power and Sample Size Considerations at the Planning Stage
  • Cluster Analysis
  • Principal Components and Singular Value Decomposition
  • Self-organizing Maps
  • Discrimination and Classification
  • Artificial Neural Networks
  • Support Vector Machines.

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