Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data - Kim-anh Do - Grāmatas - Cambridge University Press - 9781107027527 - 2013. gada 10. jūnijs
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Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data

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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)

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