000 02378nam a22003378a 4500
001 CR9781139226448
003 UkCbUP
005 20171022143247.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 120105s2013||||enk s ||1 0|eng|d
020 _a9781139226448 (ebook)
020 _z9781107027527 (hardback)
040 _aUkCbUP
_cUkCbUP
_erda
050 0 0 _aQH324.2
_b.A395 2013
082 0 0 _a572.80285
_223
245 0 0 _aAdvances in Statistical Bioinformatics :
_bModels and Integrative Inference for High-Throughput Data /
_cEdited by Kim-Anh Do, Zhaohui Steve Qin, Marina Vannucci.
264 1 _aCambridge :
_bCambridge University Press,
_c2013.
300 _a1 online resource (514 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 09 Oct 2015).
520 _aProviding genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. 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 includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation.
650 0 _aBiometry
700 1 _aDo, Kim-Anh,
_eeditor of compilation.
700 1 _aQin, Zhaohui Steve,
_eeditor of compilation.
700 1 _aVannucci, Marina,
_eeditor of compilation.
776 0 8 _iPrint version:
_z9781107027527
856 4 0 _uhttp://dx.doi.org/10.1017/CBO9781139226448
999 _c229419
_d229419