ISBN: 9781107636989 - bayesian inference for gene expression and proteomics (16 risultati)

Paperback. Condizione: Very Good. In stock ready to dispatch from the UK.

Paperback. Condizione: 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.…

Condizione: New.

Condizione: New. Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation. Editor(s): Do, Kim-Anh; Muller, Peter; Vannucci, Marina. Num Pages: 456 pages, 22 tables. BIC Classification: PBT; PSAK. Category: (P) Professional & Vocational. Dimension: 220 x 140 x 25. Weight in Grams: 572. . 2012. Paperback. . . . . …

Condizione: New. In English.

Condizione: New. pp. 456.

Condizione: New. Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation. Editor(s): Do, Kim-Anh; Muller, Peter; Vannucci, Marina. Num Pages: 456 pages, 22 tables. BIC Classification: PBT; PSAK. Category: (P) Professional & Vocational. Dimension: 220 x 140 x 25. Weight in Grams: 572. . 2012. Paperback. . . . . Books ship from the US and Ireland. …

Paperback. Condizione: Brand New. 1st edition. 456 pages. 8.58x5.51x1.02 inches. In Stock.

Taschenbuch. Condizione: 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.…

PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Print on Demand pp. 456.

Condizione: New. PRINT ON DEMAND pp. 456.

Paperback. Condizione: new. Paperback. 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. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and cluste.…

Taschenbuch. Condizione: Neu. Bayesian Inference for Gene Expression and Proteomics | Kim-Anh Do (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2012 | Cambridge University Press | EAN 9781107636989 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …