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Integrative Cluster Analysis in Bioinformatics (Hardcover)
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Integrative Cluster Analysis in Bioinformatics (Hardcover)
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Clustering techniques are increasingly being put to use in the
analysis of high-throughput biological datasets. Novel
computational techniques to analyse high throughput data in the
form of sequences, gene and protein expressions, pathways, and
images are becoming vital for understanding diseases and future
drug discovery. This book details the complete pathway of cluster
analysis, from the basics of molecular biology to the generation of
biological knowledge. The book also presents the latest clustering
methods and clustering validation, thereby offering the reader a
comprehensive review of clustering analysis in bioinformatics from
the fundamentals through to state-of-the-art techniques and
applications. Key Features: * Offers a contemporary review of
clustering methods and applications in the field of bioinformatics,
with particular emphasis on gene expression analysis * Provides an
excellent introduction to molecular biology with computer
scientists and information engineering researchers in mind, laying
out the basic biological knowledge behind the application of
clustering analysis techniques in bioinformatics * Explains the
structure and properties of many types of high-throughput datasets
commonly found in biological studies * Discusses how clustering
methods and their possible successors would be used to enhance the
pace of biological discoveries in the future * Includes a companion
website hosting a selected collection of codes and links to
publicly available datasets
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