001441566 000__ 04997cam\a2200601Ii\4500
001441566 001__ 1441566
001441566 003__ OCoLC
001441566 005__ 20230309004746.0
001441566 006__ m\\\\\o\\d\\\\\\\\
001441566 007__ cr\un\nnnunnun
001441566 008__ 220106s2021\\\\sz\a\\\\ob\\\\001\0\eng\d
001441566 019__ $$a1291268914$$a1291288964$$a1291311364$$a1291317522$$a1294361013
001441566 020__ $$a9783030725150$$q(electronic bk.)
001441566 020__ $$a3030725154$$q(electronic bk.)
001441566 020__ $$z9783030725143
001441566 020__ $$z3030725146
001441566 0247_ $$a10.1007/978-3-030-72515-0$$2doi
001441566 035__ $$aSP(OCoLC)1291229878
001441566 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dDCT$$dOCLCF$$dOCLCO$$dOCLCQ
001441566 049__ $$aISEA
001441566 050_4 $$aQH324.2$$b.B74 2021
001441566 08204 $$a570.285$$223
001441566 1001_ $$aBressloff, Paul C.,$$eauthor.
001441566 24510 $$aStochastic processes in cell biology.$$nVolume I /$$cPaul C. Bressloff.
001441566 250__ $$aSecond edition.
001441566 264_1 $$aCham :$$bSpringer,$$c[2021]
001441566 264_4 $$c©2021
001441566 300__ $$a1 online resource :$$billustrations (some color).
001441566 336__ $$atext$$btxt$$2rdacontent
001441566 337__ $$acomputer$$bc$$2rdamedia
001441566 338__ $$aonline resource$$bcr$$2rdacarrier
001441566 347__ $$atext file$$bPDF$$2rda
001441566 4901_ $$aInterdisciplinary applied mathematics ;$$vvolume 41
001441566 504__ $$aIncludes bibliographical references and index.
001441566 5050_ $$aIntroduction -- Random walks and Brownian motion -- Protein receptors and ion channels -- Molecular motors -- Stochastic gene expression and regulatory networks -- Diffusive transport -- Active transport -- The WKB method, path integrals, and large deviations -- Probability theory and martingales.
001441566 506__ $$aAccess limited to authorized users.
001441566 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.
001441566 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 12, 2022).
001441566 650_0 $$aComputational biology.
001441566 650_0 $$aMolecular biology.
001441566 650_0 $$aStochastic processes.
001441566 650_6 $$aBio-informatique.
001441566 650_6 $$aBiologie moléculaire.
001441566 650_6 $$aProcessus stochastiques.
001441566 655_0 $$aElectronic books.
001441566 77608 $$iPrint version: $$z3030725146$$z9783030725143$$w(OCoLC)1240492419
001441566 830_0 $$aInterdisciplinary applied mathematics ;$$vv. 41.
001441566 852__ $$bebk
001441566 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72515-0$$zOnline Access$$91397441.1
001441566 909CO $$ooai:library.usi.edu:1441566$$pGLOBAL_SET
001441566 980__ $$aBIB
001441566 980__ $$aEBOOK
001441566 982__ $$aEbook
001441566 983__ $$aOnline
001441566 994__ $$a92$$bISE