A guide for all life scientists, statisticians, computer experts, technology developers, managers and other professionals tasked with developing, deploying and using microarray technology including the necessary computational infrastructure and analytical tools, this book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is intended for students, teachers, researchers and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. The book is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a text for a senior undergraduate- or graduate level course in analytical genetics, biology, bioinformatics, computational biology, statistics and data mining or applied computer science.
Key topics covered include: format of result from data analysis, analytical modelling/experimentation; validation of analytical results; data analysis/modelling task; analysis/modelling tools; scientific questions, goals, and tasks; application; data analysis methods; and criteria for assessing analysis methodologies, models and tools.