000 03180nam a22005055i 4500
001 978-1-4614-0478-1
003 DE-He213
005 20140220083732.0
007 cr nn 008mamaa
008 110711s2011 xxu| s |||| 0|eng d
020 _a9781461404781
_9978-1-4614-0478-1
024 7 _a10.1007/978-1-4614-0478-1
_2doi
050 4 _aQA273.A1-274.9
050 4 _aQA274-274.9
072 7 _aPBT
_2bicssc
072 7 _aPBWL
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.2
_223
100 1 _aUllah, Mukhtar.
_eauthor.
245 1 0 _aStochastic Approaches for Systems Biology
_h[electronic resource] /
_cby Mukhtar Ullah, Olaf Wolkenhauer.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXXXII, 290p. 73 illus.
_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 _uhttp://dx.doi.org/10.1007/978-1-4614-0478-1
912 _aZDB-2-SMA
999 _c106252
_d106252