
Statistical Diagnostics for Cancer
Analyzing High-Dimensional Data
Edición de la obra Statistical Diagnostics for Cancer
| Autor | Matthias Dehmer, Frank Emmert-Streib |
|---|---|
| Editorial | Wiley-VCH Verlag GmbH, Wiley-Interscience, Wiley-Blackwell |
| Fecha de publicación | 2013 |
| Idioma | inglés |
| Páginas | 312 |
| ISBN-13 | 9783527332625 |
| OCLC | 827207495 |
| LCCN | 2012554407 |
| Número de Cutter | D322s |
This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological point of view, the well balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of suffi.