Statistical Modelling of Molecular Descriptors in QSAR/QSPR

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.

Avainsanat: methods, qsar, property, best practices, qspr, matching, appropriate, chun, descriptorbased, liew, prediction, datasets, huixiao, mold, breneman, molecular descriptors, feng, consonni, analysis, shi, partial, linear, molecular, multivariate