"Clustering in bioinformatics and drug discovery" - Information and Links:

Clustering in bioinformatics and drug discovery - Info and Reading Options

Book's cover
The cover of “Clustering in bioinformatics and drug discovery” - Open Library.

"Clustering in bioinformatics and drug discovery" was published by Taylor & Francis in 2011 - Boca Raton, it has 248 pages and the language of the book is English.


“Clustering in bioinformatics and drug discovery” Metadata:

  • Title: ➤  Clustering in bioinformatics and drug discovery
  • Author:
  • Language: English
  • Number of Pages: 248
  • Publisher: Taylor & Francis
  • Publish Date:
  • Publish Location: Boca Raton

“Clustering in bioinformatics and drug discovery” Subjects and Themes:

Edition Specifications:

  • Pagination: p. ;

Edition Identifiers:

AI-generated Review of “Clustering in bioinformatics and drug discovery”:


"Clustering in bioinformatics and drug discovery" Table Of Contents:

  • 1- (Publisher-supplied data) Introduction
  • 2- Data
  • 3- Clustering Forms
  • 4- Partitional Algorithms
  • 5- Cluster Sampling Algorithms - Hierarchical Algorithms
  • 6- Hybrid Algorithms
  • 7- Asymmetry
  • 8- Ambiguity
  • 9- Validation
  • 10- Large Scale and Parallel Algorithms.

"Clustering in bioinformatics and drug discovery" Description:

The Open Library:

"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.

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