Description
| Product ID: | 9781441912268 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Title: | A Practical Approach to Microarray Data Analysis |
| Authors: | Author: Daniel P. Berrar, Werner Dubitzky, Martin Granzow |
| Page Count: | 368 |
| Subjects: | Evolution, Evolution, Biochemistry, Molecular biology, Algorithms and data structures, Artificial intelligence, Biochemistry, Molecular biology, Algorithms & data structures, Artificial intelligence |
| Description: | The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and 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 applied computer science. |
| Imprint Name: | Springer-Verlag New York Inc. |
| Publisher Name: | Springer-Verlag New York Inc. |
| Country of Publication: | GB |
| Publishing Date: | 2009-08-17 |
