A Practical Approach to Microarray Data
โ Daniel P. Berrar, Werner Dubitzky, Martin Granzow
๐ Library
๐
2002
๐ Springer
๐ English
โฆ LIBER โฆ
๐
A Practical Approach to Microarray Data Analysis
โ Scribed by Daniel P. Berrar, Werner Dubitzky, Martin Granzow
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 385
- Edition
- 1
- Category
- Library
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โฆ Synopsis
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.
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A Practical Approach to Microarray Data
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A Practical Approach to Microarray Data
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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 analytica
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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 analytica
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This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. <p> From the contents: <ul> <li>Understanding and Preprocessing Microarray Data <li>Cluster