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Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data Kim-anh Do
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Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data
Kim-anh Do
Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This material is written for statisticians who are interested in modeling and analyzing high-throughput data.
511 pages, 120 b/w illus. 17 colour illus. 20 tables
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 10. juni 2013 |
| ISBN13 | 9781107027527 |
| Utgivere | Cambridge University Press |
| Sjanger | Aspects (Academic) > Medical / Medicine Aspects |
| Antall sider | 514 |
| Mål | 155 × 233 × 32 mm · 882 g |
| Språk | Engelsk |
| Redaktør | Do, Kim-Anh |
| Redaktør | Qin, Zhaohui Steve (Emory University, Atlanta) |
| Redaktør | Vannucci, Marina (Rice University, Houston) |
