000 | 02921cam a2200385 a 4500 | ||
---|---|---|---|
001 | 17052899 | ||
003 | OSt | ||
005 | 20150908161335.0 | ||
008 | 111121s2012 enka b 001 0 eng | ||
010 | _a 2011046839 | ||
020 | _a9780521768238 | ||
040 |
_aDLC _cDLC _dDLC |
||
041 | _aeng | ||
042 | _apcc | ||
050 | 0 | 0 |
_aQH505 _b.B35 2012 |
082 | 0 | 0 |
_a571.401 _223 |
084 |
_aTEC009000 _2bisacsh |
||
100 | 1 |
_aBeard, Daniel A., _d1971- |
|
245 | 1 | 0 |
_aBiosimulation : _bsimulation of living systems / _cDaniel A. Beard. |
260 |
_aCambridge ; _aNew York : _bCambridge University Press, _c2012. |
||
300 |
_axii, 307 p. : _bill. ; _c26 cm. |
||
490 | 0 | _aCambridge texts in biomedical engineering | |
504 | _aIncludes bibliographical references (p. [299]-303) and index. | ||
505 | 8 | _aMachine generated contents note: 1. Introduction to simulation of biological systems; 2. Transport and reaction of solutes in biological systems; 3. Physiologically-based pharmacokinetic modeling; 4. Cardiovascular systems simulation; 5. Chemical reaction systems: thermodynamics; 6. Chemical reaction systems: kinetics; 7. Chemical reaction systems: large-scale systems simulation; 8. Cellular electrophysiology; 9. Appendices: mathematical and computational techniques. | |
520 | _a"This practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online (www.cambridge.org/biosim) students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyone who needs to develop computational models of biological systems"-- | ||
650 | 0 |
_aBiophysics _xComputer simulation. |
|
650 | 0 |
_aBiophysics _xSimulation methods. |
|
650 | 0 |
_aBiomedical engineering _xComputer simulation. |
|
650 | 0 |
_aMedical sciences _vCase studies. |
|
650 | 7 |
_aTECHNOLOGY & ENGINEERING / Engineering (General). _2bisacsh |
|
856 | 4 | 2 |
_3Cover image _uhttp://assets.cambridge.org/97805217/68238/cover/9780521768238.jpg |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
942 |
_2ddc _cLIBRO |
||
955 |
_bre04 2011-11-21 _cre04 2011-11-21 ONIX to BioAg _axn03 2012-07-03 1 copy rec'd., to CIP ver. |
||
999 | _c1468 |