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| Titolo: |
Statistical diagnostics for cancer [[electronic resource] ] : analyzing high-dimensional data / / edited by Frank Emmert-Streib and Matthias Dehmer
|
| Pubblicazione: | Weinheim, : Wiley-Blackwell, 2013 |
| Descrizione fisica: | 1 online resource (314 p.) |
| Disciplina: | 616.994075 |
| Soggetto topico: | Cancer - Diagnosis |
| Soggetto genere / forma: | Electronic books. |
| Altri autori: |
Emmert-StreibFrank
DehmerMatthias <1968->
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| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | pt. 1. General overview -- pt. 2. Bayesian methods -- pt. 3. Network-based approaches -- pt. 4. Phenotype influence of DNA copy number aberrations. |
| Sommario/riassunto: | 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 |
| Titolo autorizzato: | Statistical diagnostics for cancer ![]() |
| ISBN: | 3-527-66547-1 |
| 1-299-15851-X | |
| 3-527-66544-7 | |
| 3-527-66545-5 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910141464803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |