Clustering in bioinformatics and drug discovery
By: John D. MacCuish, Norah E. MacCuish
Contributors: MacCuish, Norah E.
Series: Chapman & Hall/CRC mathematical and computational biology series; Chapman & Hall/CRC mathematical and computational biology series (Unnumbered)
Publisher: Taylor & Francis; Brand: CRC Press; CRC Press
Published: 2011
Place of publication: Boca Raton
Language: eng
Number of pages: 248
ISBN-13: 9781439816783
Description: "This book presents an introduction to cluster analysis and algorithms in the context of drug discovery clustering applications. It provides the key to understanding applications in clustering large combinatorial libraries (in the millions of compounds) for compound acquisition, HTS results, 3D lead hopping, gene expression for toxicity studies, and protein reaction data. Bringing together common and emerging methods, the text covers topics peculiar to drug discovery data, such as asymmetric measures and asymmetric clustering algorithms as well as clustering ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms"--Provided by publisher.
Notes: Includes bibliographical references and index.
Table of contents: title: (Publisher-supplied data) Introduction; title: Data; title: Clustering Forms; title: Partitional Algorithms; title: Cluster Sampling Algorithms - Hierarchical Algorithms; title: Hybrid Algorithms; title: Asymmetry; title: Ambiguity; title: Validation; title: Large Scale and Parallel Algorithms.