Algebraic Statistics Computational Biology (18 results)

Hard cover. Condition: Very good. No jacket. Cover is lightly rubbed, but text and images are clear and bright. Binding is tight. Page 8 has notes and underlining in black ink. Inside is otherwise clean and unmarked.

Condition: Fine. 420 pp., hardcover, a tiny bit of age-toning to top edge of pages else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

Hardback. Condition: Good. 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, first published in 2005, 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. The first part of this book consists of four chapters on the themes of Statistics, Computation, Algebra and Biology, offering speedy, self-contained introductions to the emerging field of algebraic statistics and its applications to genomics. In the second part, the four themes are combined and developed to tackle real problems in computational genomics. 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.…

Condition: New.

Condition: New.

Condition: New. This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology. Editor(s): Pachter, L. (University of California, Berkeley); Sturmfels, Bernd. Num Pages: 434 pages, 100 b/w illus. 3 colour illus. 5 tables. BIC Classification: PS. Category: (P) Professional & Vocational. Dimension: 262 x 185 x 29. Weight in Grams: 1062. . 2005. Illustrated. hardcover. . . . .…

Condition: New. In English.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: New. pp. 434 Index.

Condition: New. This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology. Editor(s): Pachter, L. (University of California, Berkeley); Sturmfels, Bernd. Num Pages: 434 pages, 100 b/w illus. 3 colour illus. 5 tables. BIC Classification: PS. Category: (P) Professional & Vocational. Dimension: 262 x 185 x 29. Weight in Grams: 1062. . 2005. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: Brand New. new title edition. 420 pages. 10.00x7.00x1.00 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, first published in 2005, 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. The first part of this book consists of four chapters on the themes of Statistics, Computation, Algebra and Biology, offering speedy, self-contained introductions to the emerging field of algebraic statistics and its applications to genomics. In the second part, the four themes are combined and developed to tackle real problems in computational genomics. 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.…

Hardcover. Condition: new. Hardcover. 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, first published in 2005, 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. The first part of this book consists of four chapters on the themes of Statistics, Computation, Algebra and Biology, offering speedy, self-contained introductions to the emerging field of algebraic statistics and its applications to genomics. In the second part, the four themes are combined and developed to tackle real problems in computational genomics. 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. This book, first published in 2005, explains how computational algebra provides tools for designing new algorithms for exact, accurate results in the quantitative analysis of biological sequence data. These are applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. Print on Demand pp. 434 3 Figures (Col.), Illus.

Condition: New. PRINT ON DEMAND pp. 434 100 Line Diagrams.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book, first published in 2005, explains how computational algebra provides tools for designing new algorithms for exact, accurate results in the quantitative analysis of biological sequence data. These are applied to biological problems such as alignin.…

Buch. Condition: Neu. Algebraic Statistics for Computational Biology | L. Pachter (u. a.) | Buch | Gebunden | Englisch | 2013 | Cambridge University Press | EAN 9780521857000 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…