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Item Details
| Title:
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PHARMACEUTICAL DATA MINING
APPROACHES AND APPLICATIONS FOR DRUG DISCOVERY |
| By: |
Konstantin V. Balakin, Sean Ekins |
| Format: |
Hardback |
| List price:
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£139.95 |
| Our price: |
£125.96 |
| Discount: |
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| You save:
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£13.99 |
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| ISBN 10: |
0470196084 |
| ISBN 13: |
9780470196083 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
rates
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| Stock: |
Currently 0 available |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
1 December, 2009 |
| Series: |
Wiley Series on Technologies for the Pharmaceutical Industry |
| Pages: |
562 |
| Description: |
Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. |
| Synopsis: |
Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response prediction, Pharmaceutical Data Mining links theory to applications to illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development. The book is of vital interest to pharmaceutical scientists, principal investigators and scientists, research directors, industrial and academic research libraries, and graduate students. |
| Illustrations: |
Illustrations |
| Publication: |
US |
| Imprint: |
Wiley-Blackwell |
| Returns: |
Returnable |
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