Algebraic Statistics for Computational B
β L. Pachter, B. Sturmfels
π Library
π
2005
π Cambridge University Press
π English
β¦ LIBER β¦
π
Algebraic Statistics for Computational Biology
β Scribed by L. Pachter, B. Sturmfels
- Publisher
- Cambridge University Press
- Year
- 2005
- Tongue
- English
- Leaves
- 432
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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 biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for advanced undergraduate and beginning graduate courses.
π SIMILAR VOLUMES
Algebraic Statistics for Computational B
β L. Pachter, B. Sturmfels
π Library
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2005
π Cambridge University Press
π English
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 t
Algebraic Statistics for Computational B
β L. Pachter, B. Sturmfels
π Library
π
2005
π Cambridge University Press
π English
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 t
Algebraic Statistics for Computational B
β L. Pachter, B. Sturmfels
π Library
π
2005
π Cambridge University Press
π English
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 t
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Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to GrΓΆbner bases and a thorough description of their applications to experimental design.