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Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data Kim-anh Do
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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2013. gada 10. jūnijs |
| ISBN13 | 9781107027527 |
| Izdevēji | Cambridge University Press |
| Žanrs | Aspects (Academic) > Medical / Medicine Aspects |
| Lapas | 514 |
| Izmēri | 155 × 233 × 32 mm · 882 g |
| Valoda | Angļu |
| Redaktors | Do, Kim-Anh |
| Redaktors | Qin, Zhaohui Steve (Emory University, Atlanta) |
| Redaktors | Vannucci, Marina (Rice University, Houston) |