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.
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