000 02983nam a22004815i 4500
001 978-1-4614-9429-4
003 DE-He213
005 20200421111657.0
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 _aElectronic circuits.
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
942 _cEBK
999 _c54788
_d54788