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Bayesian Inference for Gene Expression and Proteomics Marina Vannucci
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Bayesian Inference for Gene Expression and Proteomics
Marina Vannucci
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.
456 pages, 22 tables
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de abril de 2012 |
| ISBN13 | 9781107636989 |
| Editores | Cambridge University Press |
| Páginas | 456 |
| Dimensiones | 140 × 220 × 25 mm · 572 g |
| Lengua | Inglés |
| Editor | Do, Kim-Anh (University of Texas, MD Anderson Cancer Center) |
| Editor | Muller, Peter (Swiss Federal Institute of Technology, Zurich) |
| Editor | Vannucci, Marina (Rice University, Houston) |
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