Clustering in Bioinformatics and Drug Discovery

Rezensionen / Stimmen

John trained in computer science and has been involved with data mining and statistical analysis; Norah trained as a theoretical physical chemist and has mostly worked for pharmaceutical companies on drug discovery. They run a company that merges their fields, and it is that overlap that they describe here. They explain how cluster analysis, an exploratory data analysis tool, is used in bioinformatics and cheminformatics as they relate to drug discovery. The goal is for practitioners to be aware of the relative merits of clustering methods with the data they have at hand.
-SciTech Book News, February 2011

... In this volume, the authors present sufficient options so that the user can choose the appropriate method for their data. ... Practitioners in the pharmaceutical industry need an expert guide, which the authors of this book provide, to extract the most information from their data. Those of us who learned their clustering from Anderberg, Sokal and Sneath, and Willett now have a valuable additional resource suitable for the 21st century.
-From the Foreword by John Bradshaw, Barley, Hertfordshire, UK