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A Practical Approach to Microarray Data Analysis [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  1441912266
  • ISBN-10:  1441912266
  • ISBN-13:  9781441912268
  • ISBN-13:  9781441912268
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  368
  • Pages:  368
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2009
  • Pub Date:  01-Mar-2009
  • SKU:  1441912266-11-SPRI
  • SKU:  1441912266-11-SPRI
  • Item ID: 100706439
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.
The 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.

This book helps scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a course text.

A Practical Approach to Microarray Data Analysis is 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. The 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 applielc<
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