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| book details |
Computational and Statistical Methods in Bioinformatics
By (author)
Xue-wen Chen
, By (author)
George C. Tseng
, By (author)
Xinkun Wang
, By (author)
Ya Zhang
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| book description |
Bringing needed expertise in biology, statistics, and computer science to the task, this textbook provides a thorough introduction to computational methods in bioinformatics. It gives mathematicians and computer scientists a background in biology, including coverage of cell biology, DNA, RNA, and proteins. It then goes through the key computational methods in sequence analysis, microarray data analysis, and proteomics. Detailing both statistical and machine learning methods, provided algorithms are explained, each in the context of a relevant biological problem. The self-contained text provides practice exercises in each chapter for students and additional resources for adopting professors.
| product details |
Normally shipped |
Enquiries only
Publisher |
Taylor & Francis Ltd
Published date |
26 Apr 2010
Language |
Format |
Paperback
Pages |
329
Dimensions |
235 x 156 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-1-4200-7054-5
Readership Age |
BISAC |
science / life sciences / biology / general
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Survive the AI Apocalypse: A guide for solutionists
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was: R 340.95
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Dete Meserve
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