Hidden Harkov Models for Bioinformatics
by Timo Koski
- Used
- Fine
- Hardcover
- first
- Condition
- Fine
- ISBN 10
- 1402001355
- ISBN 13
- 9781402001352
- Seller
-
Davis, California, United States
Payment Methods Accepted
About This Item
No Dust Jacket
Book: Blemishes -- Light uniform toning the book spine caused by prolonged light exposure during long-term shelf storage. The rest of the book is in "As New" condition.
All pages and illustrations are present, pages are unmarrked with no toning. No marks, marginalia, underlining, or entries. The boards are unblemished, rubs, dents, or chips, and the ISBN is visible and undisturbed (photo).
From the Book: "Audience. This book will be of interest to advanced underratue and gradulate students with a fairly limited background in probability theory, but other will sell trained in mathmaticsandalready familiar with at least some of the techniques of algorithmic sequence analysis."
Amazon Review: "Hidden Markov Models of Bioinformatics" is an excellent exploration of the subject matter: appropriate coverage, well written, and engaging. Hidden Markov Models are a rather broad class of probabilistic models useful for sequential processes. Their use in the modeling and abstraction of motifs in, for example, gene and protein families is a specialization that bears a thorough description, and this book does so very well. This is a book for understanding the theory and core ideas underlying profile HMMs, and if the term Expectation Maximization doesn't sound familiar or interesting to you, this is probably not the book you're looking for. Personally I found it clearer in some ways than the standard reference by Durbin, Eddy, Krogh, and Mitchison, but actually the two complement each other very nicely. If you are interested in constructing an HMM for your favorite protein family you probably want to look at the HMMER or SAM documentation instead; if you want to understand where HMMs come from or how you might architect one, there's probably no better book than this one."
The author, at time of publication, was professor of mathmatics, University of Linkoping, Sweden.
Reviews
(Log in or Create an Account first!)
Details
- Bookseller
- Logos Books (US)
- Bookseller's Inventory #
- 617
- Title
- Hidden Harkov Models for Bioinformatics
- Author
- Timo Koski
- Format/Binding
- Acetate covered clothbound hardcover
- Book Condition
- Used - Fine
- Quantity Available
- 1
- Edition
- First Edition, First Printing
- Binding
- Hardcover
- ISBN 10
- 1402001355
- ISBN 13
- 9781402001352
- Publisher
- Kluwer Academic Publishers
- Place of Publication
- Dordrecht, The Netherlands
- Date Published
- 2001
- Pages
- 391
- Size
- 6.5" x 9.75"
- Keywords
- Mathmatics, Probability Theory
- Bookseller catalogs
- Rare & Collectable;
Terms of Sale
Logos Books
About the Seller
Logos Books
About Logos Books
We are a retail outlet for the Friends of the Davis Public Library, licensed by the State of California as a non-profit entity. We are also a member of the Independent Online Booksellers Association (IOBA) and comply with its standards of ethics and requirements. Logos book inventory comes mostly from donations by our literate and university associated community and often include large donations from public and private libraries. Rare and Valuable books are listed on the Internet under Logos Books. The book store also has a select listing of Vintage books and rare Children's books.
Prospective buyers wanting to personally inspect one of our listed valuable books are encouraged to do so. We store our prized books off-site in a safe and climate-controlled environment. Call Logos Books during store hours and leave contact information or email the General Manager, phil@davislibraryfriends.org to make an appointment.
Glossary
Some terminology that may be used in this description includes:
- Spine
- The outer portion of a book which covers the actual binding. The spine usually faces outward when a book is placed on a shelf....
- Marginalia
- Marginalia, in brief, are notes written in the margins, or beside the text of a book by a previous owner. This is very...