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Record Nr. |
UNINA9910830855103321 |
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Titolo |
Statistical diagnostics for cancer : analyzing high-dimensional data / / edited by Frank Emmert-Streib and Matthias Dehmer |
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Pubbl/distr/stampa |
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Weinheim, : Wiley-Blackwell, 2013 |
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Weinheim, Germany : , : Wiley-Blackwell, , 2013 |
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ISBN |
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3-527-66547-1 |
1-299-15851-X |
3-527-66544-7 |
3-527-66545-5 |
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Descrizione fisica |
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1 online resource (xx, 292 pages) : illustrations (some color) |
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Collana |
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Quantitative and Network Biology (VCH) |
Quantitative and network biology ; ; v. 3 |
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Disciplina |
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Soggetti |
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Cancer - Diagnosis - Statistical methods |
Cancer - Genetic aspects - Statistical methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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pt. 1. General overview -- pt. 2. Bayesian methods -- pt. 3. Network-based approaches -- pt. 4. Phenotype influence of DNA copy number aberrations. |
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Sommario/riassunto |
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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 |
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