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Cliff Swartz is a passionate advocate for better physics teaching, based on a curriculum that is quantitative and includes experiments 'with a purpose.' Here, in a collection of editorials written for The Physics Teacher magazine -- along with a few new ones -- he cajoles, chides, preaches, and provides a good swift kick in the intellectual pants for those who are working to share physics with the next generation.Gleaned from a lifetime in the lab and in the classroom, Swartz's book is chock-full of wisdom for neophytes as well as seasoned veterans. Favorite editorials such as 'Practically Perfect in Every Way' and 'Justifying Atoms' provide the reader with an insider's view of the state of physics teaching over the three decades that Swartz edited The Physics Teacher. His advice and opinions -- often thought-provoking or controversial -- should not go unheeded.
This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.
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.