000			02559nam a22003618i 4500
001			CR9781139226448
003			UkCbUP
005			20200124160244.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			120105s2013||||enk o ||1 0|eng|d
020			_a9781139226448 (ebook)
020			_z9781107027527 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
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, The University of Texas M.D. Anderson Cancer Center, Zhaohui Steven Qin, Emory University, Atlanta, GA, Marina Vannucci, Rice University, Houston, TX.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xv, 481 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 05 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	_aBioinformatics _xStatistical methods.
650		0	_aBiometry.
650		0	_aGenetics _xTechnique.
700	1		_aDo, Kim-Anh, _d1960- _eeditor.
700	1		_aQin, Steven, _d1972- _eeditor.
700	1		_aVannucci, Marina, _d1966- _eeditor.
776	0	8	_iPrint version: _z9781107027527
856	4	0	_uhttps://doi.org/10.1017/CBO9781139226448
999			_c518835 _d518833