001441665 000__ 05168cam\a2200649Ia\4500
001441665 001__ 1441665
001441665 003__ OCoLC
001441665 005__ 20230309003338.0
001441665 006__ m\\\\\o\\d\\\\\\\\
001441665 007__ cr\un\nnnunnun
001441665 008__ 220112s2021\\\\sz\\\\\\ob\\\\001\0\eng\d
001441665 019__ $$a1291874231$$a1292034805$$a1292063094$$a1292360224$$a1293246663$$a1294332814$$a1294351064
001441665 020__ $$a9783030725198$$q(electronic bk.)
001441665 020__ $$a3030725197$$q(electronic bk.)
001441665 020__ $$z3030725189
001441665 020__ $$z9783030725181
001441665 020__ $$a9783030725204
001441665 020__ $$a3030725200
001441665 020__ $$a9783030725211
001441665 020__ $$a3030725219
001441665 0247_ $$a10.1007/978-3-030-72519-8$$2doi
001441665 035__ $$aSP(OCoLC)1291734763
001441665 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dFIE$$dDCT$$dEBLCP$$dOCLCF$$dOCLCO$$dSFB$$dOCLCQ
001441665 049__ $$aISEA
001441665 050_4 $$aQH324.2
001441665 08204 $$a570.285$$223
001441665 1001_ $$aBressloff, Paul C.
001441665 24510 $$aStochastic processes in cell biology.$$nVolume II /$$cPaul C. Bressloff.
001441665 250__ $$aSecond edition.
001441665 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001441665 300__ $$a1 online resource
001441665 336__ $$atext$$btxt$$2rdacontent
001441665 337__ $$acomputer$$bc$$2rdamedia
001441665 338__ $$aonline resource$$bcr$$2rdacarrier
001441665 347__ $$atext file$$bPDF$$2rda
001441665 4901_ $$aInterdisciplinary applied mathematics ;$$vv. 41
001441665 504__ $$aIncludes bibliographical references and index.
001441665 5050_ $$aSensing the environment -- Intracellular pattern formation and reaction-diffusion processes -- Statistical mechanics and dynamics of polymers and membranes -- Self-organization and assembly of cellular structures -- Dynamics and regulation of the cytoskeleton -- Bacterial population growth and collective behavior -- Stochastic reaction-diffusion processes.
001441665 506__ $$aAccess limited to authorized users.
001441665 520__ $$aThis book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. A wide range of biological topics are covered in the new edition, including stochastic ion channels and excitable systems, molecular motors, stochastic gene networks, genetic switches and oscillators, epigenetics, normal and anomalous diffusion in complex cellular environments, stochastically-gated diffusion, active intracellular transport, signal transduction, cell sensing, bacterial chemotaxis, intracellular pattern formation, cell polarization, cell mechanics, biological polymers and membranes, nuclear structure and dynamics, biological condensates, molecular aggregation and nucleation, cellular length control, cell mitosis, cell motility, cell adhesion, cytoneme-based morphogenesis, bacterial growth, and quorum sensing. The book also provides a pedagogical introduction to the theory of stochastic and nonequilibrium processes Fokker Planck equations, stochastic differential equations, stochastic calculus, master equations and jump Markov processes, birth-death processes, Poisson processes, first passage time problems, stochastic hybrid systems, queuing and renewal theory, narrow capture and escape, extreme statistics, search processes and stochastic resetting, exclusion processes, WKB methods, large deviation theory, path integrals, martingales and branching processes, numerical methods, linear response theory, phase separation, fluctuation-dissipation theorems, age-structured models, and statistical field theory. This text is primarily aimed at graduate students and researchers working in mathematical biology, statistical and biological physicists, and applied mathematicians interested in stochastic modeling. Applied probabilists should also find it of interest. It provides significant background material in applied mathematics and statistical physics, and introduces concepts in stochastic and nonequilibrium processes via motivating biological applications. The book is highly illustrated and contains a large number of examples and exercises that further develop the models and ideas in the body of the text. It is based on a course that the author has taught at the University of Utah for many years.
001441665 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 1, 2022).
001441665 650_0 $$aComputational biology.
001441665 650_0 $$aMolecular biology.
001441665 650_0 $$aStochastic processes.
001441665 650_6 $$aBio-informatique.
001441665 650_6 $$aBiologie moléculaire.
001441665 650_6 $$aProcessus stochastiques.
001441665 655_7 $$aLlibres electrònics.$$2thub
001441665 655_0 $$aElectronic books.
001441665 77608 $$iPrint version: $$z3030725189$$z9783030725181$$w(OCoLC)1240492775
001441665 830_0 $$aInterdisciplinary applied mathematics ;$$vv. 41.
001441665 852__ $$bebk
001441665 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72519-8$$zOnline Access$$91397441.1
001441665 909CO $$ooai:library.usi.edu:1441665$$pGLOBAL_SET
001441665 980__ $$aBIB
001441665 980__ $$aEBOOK
001441665 982__ $$aEbook
001441665 983__ $$aOnline
001441665 994__ $$a92$$bISE