東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Stochastic processes in cell biology...

Bressloff, Paul C.

Linked to FindBook

Google Book

Amazon

博客來

Stochastic processes in cell biology.. Volume I

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic processes in cell biology./ by Paul C. Bressloff.
Author:	Bressloff, Paul C.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	1 online resource (xxxii, 748 p.) :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- 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.
Contained By:	Springer Nature eBook
Subject:	Computational biology. -
Online resource:	https://doi.org/10.1007/978-3-030-72515-0
ISBN:	9783030725150

Stochastic processes in cell biology.. Volume I
Bressloff, Paul C.

Stochastic processes in cell biology.Volume I[electronic resource] /by Paul C. Bressloff. - Second edition. - Cham :Springer International Publishing :2021. - 1 online resource (xxxii, 748 p.) :ill. (some col.), digital ;24 cm. - Interdisciplinary applied mathematics,v. 412196-9973 ;. - Interdisciplinary applied mathematics ;v. 41..

Introduction -- 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.

This 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.

ISBN: 9783030725150

Standard No.: 10.1007/978-3-030-72515-0doiSubjects--Topical Terms:

590653
Computational biology.

LC Class. No.: QH324.2 / B74 2021

Dewey Class. No.: 570.285

Stochastic processes in cell biology.. Volume I
LDR:04029nmm a2200361 a 4500 001 2262377
003 DE-He213
005 20220110072421.0
006 m o d
007 cr nn 008maaau
008 220616s2021 sz s 0 eng d
020 $a 9783030725150 $q (electronic bk.)
020 $a 9783030725143 $q (paper)
024 7 $a 10.1007/978-3-030-72515-0 $2 doi
035 $a 978-3-030-72515-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2 $b B74 2021
072 7 $a PBW $2 bicssc
072 7 $a PSA $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .B843 2021
100 1 $a Bressloff, Paul C. $3 2056094
245 1 0 $a Stochastic processes in cell biology. $n Volume I $h [electronic resource] / $c by Paul C. Bressloff.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a 1 online resource (xxxii, 748 p.) : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Interdisciplinary applied mathematics, $x 2196-9973 ; $v v. 41
505 0 $a Introduction -- 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.
520 $a This 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.
650 0 $a Computational biology. $3 590653
650 0 $a Molecular biology. $3 517296
650 0 $a Stochastic processes. $3 520663
650 1 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Probability Theory. $3 3538789
650 2 4 $a Cell Biology. $3 892383
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Interdisciplinary applied mathematics ; $v v. 41. $3 3538788
856 4 0 $u https://doi.org/10.1007/978-3-030-72515-0
950 $a Mathematics and Statistics (SpringerNature-11649)