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Item Details
| Title:
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STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
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| By: |
Matthias Dehmer (Editor), Kurt Varmuza (Editor), Danail Bonchev (Editor) |
| Format: |
Electronic book text |
| List price:
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£114.00 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
3527645039 |
| ISBN 13: |
9783527645039 |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
13 September, 2012 |
| Edition: |
11th ed. |
| Series: |
Quantitative and Network Biology (VCH) |
| Pages: |
456 |
| 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. |
| Publication: |
UK |
| Imprint: |
Wiley-VCH Verlag GmbH |
| Returns: |
Non-returnable |
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