Verlag: Cambridge University Press, 1998
ISBN 10: 0521629713 ISBN 13: 9780521629713
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Verlag: Cambridge University Press, 1998
ISBN 10: 0521629713 ISBN 13: 9780521629713
Sprache: Englisch
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: Cambridge University Press, 1998
ISBN 10: 0521629713 ISBN 13: 9780521629713
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: Cambridge University Press, 1998
ISBN 10: 0521629713 ISBN 13: 9780521629713
Sprache: Englisch
Anbieter: Books From California, Simi Valley, CA, USA
Paperback. Zustand: Very Good. Cover and edges may have some wear.
Verlag: Cambridge University Press, 1998
ISBN 10: 0521629713 ISBN 13: 9780521629713
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 69,51
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 368.
Verlag: Cambridge University Press, 1998
ISBN 10: 0521629713 ISBN 13: 9780521629713
Sprache: Englisch
Anbieter: Mooney's bookstore, Den Helder, Niederlande
Zustand: Very good.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 105,20
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 356 pages. 9.75x7.25x0.75 inches. In Stock.
Verlag: Cambridge University Press (1998), Cambridge, 1998
Anbieter: Expatriate Bookshop of Denmark, Svendborg, Dänemark
orig.wrappers Minor rubbing. An ink mark to bottom page-edge. VG. 26x18cm, xi,356 pp., PAPERBACK. "Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self- contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of- the-art in this new and highly important field" - Publisher's description. Minor rubbing. An ink mark to bottom page-edge. VG.