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Analysis of microarray gene expression data /

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Bibliographic Details
Main Author: Lee, Mei-Ling Ting
Format: Book
Language:English
Published: Boston : Kluwer Academic, [2004]
Subjects:
Oligonucleotide Array Sequence Analysis.
Gene Expression Profiling.
Table of Contents:
  • Genome probing using microarrays
  • Introduction
  • DNA, RNA, proteins, and gene expression
  • Microarray technology
  • Inherent variability in array data
  • Background noise
  • Transformation and normalization
  • Missing values in array data saturated intensity readings
  • Statistical models and analysis
  • Experimental design
  • Anova models for microarray data
  • Multiple testing in microarray studies
  • Permutation tests in microarray data
  • Bayesian methods for microarray data
  • Power and sample size considerations
  • Unsupervised exploratory analysis
  • Cluster analysis
  • Principal components and singular value decomposition
  • Self-organizing maps
  • Supervised learning methods
  • Discrimination and classification
  • Artificial neural networks
  • Support vector machines