Add free shipping to your order with these great books
Clustering in Bioinformatics and Drug Discovery : Chapman & Hall/CRC Computational Biology Series - John David MacCuish
eTextbook alternate format product

Instant online reading.
Don't wait for delivery!

Go digital and save!

Clustering in Bioinformatics and Drug Discovery

By: John David MacCuish, Norah E. MacCuish

Hardcover | 15 November 2010 | Edition Number 1

At a Glance

Hardcover


RRP $200.00

$166.25

17%OFF

or 4 interest-free payments of $41.56 with

 or 

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.

Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster analysis for bioinformatics and drug discovery. The remaining chapters cover more advanced methods, such as hybrid and parallel algorithms, as well as details related to specific types of data, including asymmetry, ambiguity, validation measures, and visualization.

This book explores the application of cluster analysis in the areas of bioinformatics and cheminformatics as they relate to drug discovery. Clarifying the use and misuse of clustering methods, it helps readers understand the relative merits of these methods and evaluate results so that useful hypotheses can be developed and tested.

Industry Reviews
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

More in Medical Research

Dopamine Nation : Finding Balance in the Age of Indulgence - Anna Lembke
Essentials of Medical Statistics : 2nd Edition - Betty R. Kirkwood

RRP $91.95

$59.90

35%
OFF
Introduction to Research in the Health Sciences : 7th Edition - Stephen Polgar
Inflamed : Deep Medicine and the Anatomy of Injustice - Rupa Marya
Essentials of Biostatistics in Public Health : 4th Edition - Lisa M. Sullivan
LYMPH & LONGEVITY : The Untapped Secret to Health - Gerald M. Lemole

RRP $32.99

$26.95

18%
OFF
Research Methods : A Framework for Evidence-Based Clinical Practice - Hurley Denegar Hertel
Introduction To Health Research Methods : 3rd edition - Kathryn H. Jacobsen
Your Best Gut : The 28-Day Guide to Transform Your Life - Dr. Paul Froomes
How to Read a Paper : the Basics of Evidence-Based Healthcare - Trisha M. Greenhalgh
Conducting And Reading Research In Kinesiology - Ted A. Baumgartner

RRP $184.25

$110.80

40%
OFF