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007			cr nn 008mamaa
008			110711s2011 xxu| s |||| 0|eng d
020			_a9781461404781 _9978-1-4614-0478-1
040			_cMX-MeUAM
050		4	_aQA273.A1-274.9
050		4	_aQA274-274.9
082	0	4	_a519.2 _223
100	1		_aUllah, Mukhtar. _eauthor.
245	1	0	_aStochastic Approaches for Systems Biology _h[recurso electrónico] / _cby Mukhtar Ullah, Olaf Wolkenhauer.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_aXXXII, 290 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPreface.-  Acknowledgements -- Acronyms, notation -- Matlab functions, revisited examples -- Introduction -- Biochemical reaction networks -- Randomness -- Probability and random variables -- Stochastic modeling of biochemical networks -- The 2MA approach -- The 2MA cell cycle model -- Hybrid Markov processes -- Wet-lab experiments and noise -- Glossary.
520			_aThis textbook focuses on stochastic modelling and its applications in systems biology. In addition to a review of probability theory, the authors introduce key concepts, including those of stochastic process, Markov property, and transition probability, side by side with notions of biochemical reaction networks. This leads to an intuitive presentation guided by a series of biological examples that are revisited throughout the text. The text shows how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property. The nontrivial relationships between various stochastic approaches are derived and illustrated. The text contains many illustrations, examples and exercises to communicate methods and analyses. Matlab code to simulate cellular systems is also provided where appropriate and the reader is encouraged to experiment with the examples and case studies provided. Senior undergraduate and graduate students in applied mathematics, the engineering and physical sciences as well as researchers working in the areas of systems biology, theoretical and computational biology will find this text useful.
650		0	_aMathematics.
650		0	_aBioinformatics.
650		0	_aBiological models.
650		0	_aDistribution (Probability theory).
650	1	4	_aMathematics.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aSystems Biology.
650	2	4	_aMathematical and Computational Biology.
650	2	4	_aBioinformatics.
700	1		_aWolkenhauer, Olaf. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461404774
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4614-0478-1
596			_a19
942			_cLIBRO_ELEC
999			_c200308 _d200308