000			02911nam a22004937a 4500
001			sulb-eb0022542
003			BD-SySUS
005			20160413122304.0
007			cr nn 008mamaa
008			130427s2013 xxu| s |||| 0|eng d
020			_a9781461464464 _9978-1-4614-6446-4
024	7		_a10.1007/978-1-4614-6446-4 _2doi
050		4	_aQA276-280
072		7	_aUFM _2bicssc
072		7	_aCOM077000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aNagarajan, Radhakrishnan. _eauthor.
245	1	0	_aBayesian Networks in R _h[electronic resource] : _bwith Applications in Systems Biology / _cby Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXIII, 157 p. 36 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aUse R! ; _v48
505	0		_aIntroduction -- Bayesian Networks in the Absence of Temporal Information -- Bayesian Networds in the Presence of Temporal Information -- Bayesian Network Inference Algorithms -- Parallel Computing for Bayesian Networks -- Solutions -- Index -- References.
520			_aBayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters with exercises and solutions for enhanced understanding and hands-on experimentation of key concepts. Applications focus on systems biology with emphasis on modeling pathways and signaling mechanisms from high throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regards as exemplified by their ability to discover new associations while validating known ones. It is also expected that the prevalence of publicly available high-throughput biological and healthcare data sets may encourage the audience to explore investigating novel paradigms using the approaches presented in the book.
650		0	_aStatistics.
650		0	_aProgramming languages (Electronic computers).
650	1	4	_aStatistics.
650	2	4	_aStatistics and Computing/Statistics Programs.
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aProgramming Languages, Compilers, Interpreters.
700	1		_aScutari, Marco. _eauthor.
700	1		_aLèbre, Sophie. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461464457
830		0	_aUse R! ; _v48
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-6446-4
912			_aZDB-2-SMA
942			_2Dewey Decimal Classification _ceBooks
999			_c44634 _d44634