Data mining for bioinformatics [Special Indian ed.]
By: Dua, Sumeet.
Contributor(s): Chowriappa, Pradeep.
Material type:![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | General Stacks | 572.330285 D85d (Browse shelf) | Available | GB1823 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
572.33015118 SCH39M MOLECULAR MODELING AND SIMULATION | 572.33015118 SCH39M MOLECULAR MODELING AND SIMULATION | 572.33015118 SCH39M MOLECULAR MODELING AND SIMULATION | 572.330285 D85d Data mining for bioinformatics [Special Indian ed.] | 572.36 H192A2 HANDBOOK OF AFFINITY CHROMATOGRAPHY | 572.36 M381 MASS SPECTROMETRY IN THE BIOLOGICAL SCIENCES | 572.36 M381L2 MASS SPECTROMETRY OF BIOLOGICAL MATERIALS |
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:
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