Stock image for illustration purposes only - book cover, edition or condition may vary.
Statistical Modelling of Molecular Descriptors in QSAR/QSPR
. Ed(S): Dehmer, Matthias; Varmuza, Kurt; Bonchev, D. G.
€ 140.40
FREE Delivery in Ireland
Description for Statistical Modelling of Molecular Descriptors in QSAR/QSPR
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. Editor(s): Dehmer, Matthias; Varmuza, Kurt; Bonchev, D. G. Series Editor(s): Emmert-Streib, Frank. Series: Quantitative and Network Biology (VCH). Num Pages: 456 pages, Illustrations (some col.). BIC Classification: PB; PN; PS. Category: (P) Professional & Vocational. Dimension: 179 x 248 x 24. Weight in Grams: 998.
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.
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.
Product Details
Publication date
2012
Publisher
Wiley-VCH Verlag GmbH Germany
Number of pages
456
Condition
New
Series
Quantitative and Network Biology (VCH)
Number of Pages
456
Format
Hardback
Place of Publication
Berlin, Germany
ISBN
9783527324347
SKU
V9783527324347
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About . Ed(S): Dehmer, Matthias; Varmuza, Kurt; Bonchev, D. G.
Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria) and at Vienna University of Technology. Currently, he is an Associate Professor at UMIT - The Health and Life Sciences University (Austria). His research interests ... Read more
Reviews for Statistical Modelling of Molecular Descriptors in QSAR/QSPR
“In summary, Statistical Modelling of Molecular Descriptors in QSAR/QSPR" is a valuable treatise, aimed at practitioners, useful both for beginners and experts. It should be a must for any decent science library.” (Match, 1 November 2012)