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Algebraic Statistics for Computational Biology

From Brand: Cambridge University Press




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 | #1580751 in Books |  Cambridge University Press |  2005-08-22 | Original language:English | PDF # 1 |  9.96 x.94 x6.97l,2.46 | File type: PDF | 420 pages

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||19 of 19 people found the following review helpful.| A very interesting approach|By Dr. Lee D. Carlson|This book is unique, in that is fuses together two subjects that may at first be thought of as having zero intersection. Indeed, computational biology and algebraic geometry are very different in their concepts, terminology, and goals, but thanks to the efforts of the editors (and their students), techniques from algebraic geo

The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book offers an introduction to this mathematical framework and describes tools from computational algebra for designing new algorithms for exact, accurate results. These algorithms can be applied to biolo...

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