Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 052186092X ISBN 13: 9780521860925
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107636981 ISBN 13: 9781107636989
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107636981 ISBN 13: 9781107636989
Anbieter: AMM Books, Gillingham, KENT, Vereinigtes Königreich
EUR 20,31
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. In stock ready to dispatch from the UK.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107636981 ISBN 13: 9781107636989
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
Erstausgabe
EUR 20,67
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Like New. First Edition. Firm, square and tight, just showing a few minor rubs. Hence a non-text page is stamped 'damaged'. Despite such this book looks and feels unread and is actually in nearly new condition. Thus the contents are crisp and fresh. Now offered for sale at a special bargain price.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 87,76
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 456 pages. 8.58x5.51x1.02 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107636981 ISBN 13: 9781107636989
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.