000			02963nam a22004695i 4500
001			978-1-4614-9429-4
003			DE-He213
005			20140220082505.0
007			cr nn 008mamaa
008			131031s2014 xxu| s |||| 0|eng d
020			_a9781461494294 _9978-1-4614-9429-4
024	7		_a10.1007/978-1-4614-9429-4 _2doi
050		4	_aTK7888.4
072		7	_aTJFC _2bicssc
072		7	_aTEC008010 _2bisacsh
082	0	4	_a621.3815 _223
100	1		_aLin, Pey-Chang Kent. _eauthor.
245	1	0	_aLogic Synthesis for Genetic Diseases _h[electronic resource] : _bModeling Disease Behavior Using Boolean Networks / _cby Pey-Chang Kent Lin, Sunil P. Khatri.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014.
300			_aXXI, 100 p. 28 illus., 8 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Part I Inference of Gene Regulatory Networks -- Predictor Set Inference using SAT -- Determining Gene Function in Boolean Networks using SAT -- Predictor Ranking using Modified Zhegalkin Functions -- Part II Intervention of Gene Regulatory Networks -- ATPG for Cancer Therapy -- Summary and Future Work.
520			_aThis book brings to bear a body of logic synthesis techniques, in order to contribute to the analysis and control of Boolean Networks (BN) for modeling genetic diseases such as cancer. The authors provide several VLSI logic techniques to model the genetic disease behavior as a BN, with powerful implicit enumeration techniques. Coverage also includes techniques from VLSI testing to control a faulty BN, transforming its behavior to a healthy BN, potentially aiding in efforts to find the best candidates for treatment of genetic diseases.    • Discusses a new application for logic synthesis, which enables the use of Boolean Networks to model the behavior of genetic-based diseases; • Demonstrates how techniques such as Boolean Satisfiability (SAT) and Automatic Test Pattern Generation (ATPG) can be applied in the context of genetics; • Provides content that appeals to researchers in genetics and logic synthesis and enables readers to make the connection between genetic diseases and logic techniques in a clear, unambiguous manner.
650		0	_aEngineering.
650		0	_aBioinformatics.
650		0	_aSystems engineering.
650		0	_aBiomedical engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aBiomedical Engineering.
650	2	4	_aComputational Biology/Bioinformatics.
700	1		_aKhatri, Sunil P. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461494287
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-9429-4
912			_aZDB-2-ENG
999			_c92376 _d92376