Clustering in bioinformatics and drug discovery (with CD) (Record no. 205217)

000 -LEADER
fixed length control field 04432cam a22002774a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100622s2011 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439816783
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.80285
Item number M2C5
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name MacCuish, John D.
9 (RLIN) 338475
245 10 - TITLE STATEMENT
Title Clustering in bioinformatics and drug discovery (with CD)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2011
300 ## - PHYSICAL DESCRIPTION
Extent 214 p.
Accompanying material with CD Acc.No: CD002488
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC mathematical and computational biology series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents


1. Introduction
History
Bioinformatics and Drug Discovery
Statistical Learning Theory and Exploratory Data Analysis
Clustering Algorithms
Computational Complexity

2. Data
Types
Normalization and Scaling
Transformations
Formats
Data Matrices
Measures of Similarity
Proximity Matrices
Symmetric Matrices
Dimensionality, Components, Discriminants
Graph Theory

3. Clustering Forms
Partitional
Hierarchical
Mixture Models
Sampling
Overlapping
Fuzzy
Self-Organizing
Hybrids

4. Partitional Algorithms
K-Means
Jarvis–Patrick
Spectral Clustering
Self-Organizing Maps

5. Cluster Sampling Algorithms
Leader Algorithms
Taylor–Butina Algorithm

6. Hierarchical Algorithms
Agglomerative
Divisive

7. Hybrid Algorithms
Self-Organizing Tree Algorithm
Divisive Hierarchical K-Means
Exclusion Region Hierarchies
Biclustering

8. Asymmetry
Measures
Algorithms

9. Ambiguity
Discrete Valued Data Types
Precision
Ties in Proximity
Measure Probability and Distributions
Algorithm Decision Ambiguity
Overlapping Clustering Algorithms Based on Ambiguity

10. Validation
Validation Measures
Visualization
Example

11. Large Scale and Parallel Algorithms
Leader and Leader-Follower Algorithms
Taylor–Butina
K-Means and Variants
Examples

12. Appendices

13. Bibliography

14. A Glossary and Exercises appear at the end of each
chapter.

520 ## - SUMMARY, ETC.
Summary, etc Features
• Covers the clustering of small and large data sets, parallelization of clustering algorithms, validation and visualization, asymmetric clustering, and clustering ambiguity
• Presents over 20 algorithms in pseudocode
• Provides real-world examples from industrial settings, such as combinatorial library design and compound databases
• Contains exercises at the end of each chapter
• Offers primers on matrix algebra, probability theory, and number theory for those new to the mathematics of clustering
• Includes a DVD with color figures from the book
Solutions manual available upon qualifying course adoption.
Summary
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.


https://www.crcpress.com/Clustering-in-Bioinformatics-and-Drug-Discovery/MacCuish-MacCuish/p/book/9781439816783
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics
9 (RLIN) 338476
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics
9 (RLIN) 370
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drug development
9 (RLIN) 338477
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cluster analysis
9 (RLIN) 38323
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational biology
9 (RLIN) 73521
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cluster analysis
9 (RLIN) 38323
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drug discovery methods
9 (RLIN) 338478
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational biology
9 (RLIN) 73521
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name MacCuish, Norah E.
9 (RLIN) 338479
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   2016-12-26 5 4550.96 Slot 1702 (2 Floor, East Wing) 572.80285 M2C5 193428 2016-12-26 5688.71 Books
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library Audio Visual 2017-01-02 5     D002488 CD002488 2017-01-02   CD-DVD-VHS

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