Stochastic modelling for systems biology / (Record no. 78657)

MARC details
000 -LEADER
fixed length control field 02414nam a22002297a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220401b2020 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367656935
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.8 WIL-D
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wilkinson, Darren J.
245 ## - TITLE STATEMENT
Title Stochastic modelling for systems biology /
Statement of responsibility, etc. Darren J. Wilkinson
250 ## - EDITION STATEMENT
Edition statement 3rd ed.,
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 384p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 42.99
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman and Hall/CRC mathematical & computational biology series.
500 ## - GENERAL NOTE
General note Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks, most researchers in the field have limited knowledge of stochastic process theory. This book introduces this theory using examples that are familiar to systems biology researchers.<br/>Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biological systems--Mathematical models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems biology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic processes
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biological models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic models
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Price effective from Koha item type
  Dewey Decimal Classification     570 BITS Pilani Hyderabad BITS Pilani Hyderabad General Stack (For lending) 01/04/2022 42.99 572.8 WIL-D 44987 13/07/2024 01/04/2022 Books
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