 |
|
|
Item Details
| Title:
|
DATA MINING FOR BIOINFORMATICS
|
| By: |
Sumeet Dua, Pradeep Chowriappa |
| Format: |
Hardback |
| List price:
|
£94.99 |
| Our price: |
£85.49 |
| Discount: |
|
| You save:
|
£9.50 |
|
|
|
|
|
| ISBN 10: |
0849328012 |
| ISBN 13: |
9780849328015 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
rates
|
| Stock: |
Currently 0 available |
| Publisher: |
TAYLOR & FRANCIS INC |
| Pub. date: |
29 October, 2012 |
| Pages: |
348 |
| Description: |
Covering theory, algorithms, and methodologies, as well as data mining technologies, this book presents a discussion of data-intensive computations used in data mining applied to bioinformatics. It explains data mining design concepts to build applications and systems. |
| Synopsis: |
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 biological databases, it considers systems of both single and ensemble classifiers and shares effort-saving tips for model selection and performance estimation strategies. |
| Illustrations: |
92 black & white illustrations, 15 black & white tables |
| Publication: |
US |
| Imprint: |
CRC Press Inc |
| Returns: |
Returnable |
|
|
|
 |
|
|
|
|
|
Little Worried Caterpillar (PB)
Little Green knows she''s about to make a big change - transformingfrom a caterpillar into a beautiful butterfly. Everyone is VERYexcited! But Little Green is VERY worried. What if being a butterflyisn''t as brilliant as everyone says?Join Little Green as she finds her own path ... with just a littlehelp from her friends.
|
|
All the Things We Carry PB
What can you carry?A pebble? A teddy? A bright red balloon? A painting you''ve made?A hope or a dream?This gorgeous, reassuring picture book celebrates all the preciousthings we can carry, from toys and treasures to love and hope. With comforting rhymes and fabulous illustrations, this is a warmhug of a picture book.
|
|
|
|