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.