000			03067nam a22004935i 4500
001			978-3-319-08314-8
003			DE-He213
005			20180115171617.0
007			cr nn 008mamaa
008			140919s2014 gw | s |||| 0|eng d
020			_a9783319083148 _9978-3-319-08314-8
024	7		_a10.1007/978-3-319-08314-8 _2doi
050		4	_aQH323.5
050		4	_aQH324.2-324.25
072		7	_aPDE _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a570.285 _223
100	1		_aFriedman, Avner. _eauthor.
245	1	0	_aMathematical Modeling of Biological Processes _h[electronic resource] / _cby Avner Friedman, Chiu-Yen Kao.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aVI, 154 p. 32 illus., 17 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes on Mathematical Modelling in the Life Sciences, _x2193-4789
505	0		_aIntroduction -- Chemical Kinetics and Enzyme Dynamics -- Ordinary Differential Equations -- Epidemiology of Infectious Diseases -- Chemostats and Competition Among Species -- Bifurcation Theory -- Neuronal Oscillations -- Conservation Laws -- Neurofilaments Transport in Axon -- Diffusion and Chemotaxis -- Cancer -- Cancer Therapy -- Granulomas -- Bibliography -- Answers to Problems.
520			_aThis book on mathematical modeling of biological processes includes a wide selection of biological topics that demonstrate the power of mathematics and computational codes in setting up biological processes with a rigorous and predictive framework. Topics include: enzyme dynamics, spread of disease, harvesting bacteria, competition among live species, neuronal oscillations, transport of neurofilaments in axon, cancer and cancer therapy, and granulomas. Complete with a description of the biological background and biological question that requires the use of mathematics, this book is developed for graduate students and advanced undergraduate students with only basic knowledge of ordinary differential equations and partial differential equations; background in biology is not required. Students will gain knowledge on how to program with MATLAB without previous programming experience and how to use codes in order to test biological hypothesis.
650		0	_aMathematics.
650		0	_aBiomathematics.
650		0	_aBiophysics.
650		0	_aBiological physics.
650	1	4	_aMathematics.
650	2	4	_aMathematical and Computational Biology.
650	2	4	_aBiophysics and Biological Physics.
700	1		_aKao, Chiu-Yen. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319083131
830		0	_aLecture Notes on Mathematical Modelling in the Life Sciences, _x2193-4789
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-08314-8
912			_aZDB-2-SMA
999			_c371469 _d371469