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Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall / CRC Interdisciplinary Statistics Wit, Ernst (USI Universita della Svizzera italiana, Switzerland) 1.º edición
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Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall / CRC Interdisciplinary Statistics
Wit, Ernst (USI Universita della Svizzera italiana, Switzerland)
An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of statistical methods for describing, modeling, and inferring biological networks using genomic and other types of data. It covers a large variety of modern statistical techniques, such as sparse graphical models, state space models, Boolean networks, and hidden Markov models. The authors address gene transcription data, microRNAs, ChIP-chip, and RNAi data. Along with end-of-chapter exercises, the text includes many real-world examples with implementations using a dedicated R package.
320 pages, 120 Illustrations, black and white
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 25 de febrero de 2027 |
| ISBN13 | 9781439841471 |
| Editores | Taylor & Francis Inc |
| Páginas | 320 |
| Dimensiones | 150 × 220 × 20 mm · 513 g (Peso (estimado)) |
| Lengua | Inglés |
