| Title:
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STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
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| By: |
Matthias Dehmer (Editor), Kurt Varmuza (Editor), D. G. Bonchev (Editor) |
| Format: |
Hardback |
| List price:
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£115.95 |
| Our price: |
£95.66 |
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£20.29 |
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| ISBN 10: |
3527324348 |
| ISBN 13: |
9783527324347 |
| Availability: |
Publisher out of stock. This item may be subject to delays or cancellation.
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| Stock: |
Currently 0 available |
| Publisher: |
WILEY-VCH VERLAG GMBH |
| Pub. date: |
22 February, 2012 |
| Series: |
Quantitative and Network Biology (VCH) |
| Pages: |
456 |
| Description: |
Written by a high-profile international author and editor team, this handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods for designing empirical models involving molecular descriptors within bioinformatics. |
| Synopsis: |
This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to employing data analysis and machine learning techniques for QSAR/QSPR. The high-profile international author and editor team ensures excellent coverage of the topic, making this a must-have for everyone working in chemoinformatics and structure-oriented drug design. |
| Illustrations: |
Illustrations (some col.) |
| Publication: |
Germany |
| Imprint: |
Wiley-VCH Verlag GmbH |
| Returns: |
Returnable |