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Data Mining for Bioinformatics (Paperback)
Loot Price: R1,792
Discovery Miles 17 920
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Data Mining for Bioinformatics (Paperback)
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Covering theory, algorithms, and methodologies, as well as data
mining technologies, Data Mining for Bioinformatics provides a
comprehensive discussion of data-intensive computations used in
data mining with applications in bioinformatics. It supplies a
broad, yet in-depth, overview of the application domains of data
mining for bioinformatics to help readers from both biology and
computer science backgrounds gain an enhanced understanding of this
cross-disciplinary field. The book offers authoritative coverage of
data mining techniques, technologies, and frameworks used for
storing, analyzing, and extracting knowledge from large databases
in the bioinformatics domains, including genomics and proteomics.
It begins by describing the evolution of bioinformatics and
highlighting the challenges that can be addressed using data mining
techniques. Introducing the various data mining techniques that can
be employed in biological databases, the text is organized into
four sections: Supplies a complete overview of the evolution of the
field and its intersection with computational learning Describes
the role of data mining in analyzing large biological
databases-explaining the breath of the various feature selection
and feature extraction techniques that data mining has to offer
Focuses on concepts of unsupervised learning using clustering
techniques and its application to large biological data Covers
supervised learning using classification techniques most commonly
used in bioinformatics-addressing the need for validation and
benchmarking of inferences derived using either clustering or
classification The book describes the various biological databases
prominently referred to in bioinformatics and includes a detailed
list of the applications of advanced clustering algorithms used in
bioinformatics. Highlighting the challenges encountered during the
application of classification on biologica
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