rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Branching Processes in Biology
  name:
    name part: Kimmel, Marek.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Axelrod, David E.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2015
    edition: 2nd ed. 2015.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 280 p. 69 illus., 3 illus. in color. online resource.
  abstract: This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well-developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters, and two glossaries are included that provide background material in mathematics and in biology. The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians. The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology for this new edition. This second expanded edition adds new material published during the last decade, with nearly 200 new references. More material has been added on infinitely-dimensional multitype processes, including the infinitely-dimensional linear-fractional case. Hypergeometric function treatment of the special case of the Griffiths-Pakes infinite allele branching process has also been added. There are additional applications of recent molecular processes and connections with systems biology are explored, and a new chapter on genealogies of branching processes and their applications. Reviews of First Edition: "This is a significant book on applications of branching processes in biology, and it is highly recommended for those readers who are interested in the application and development of stochastic models, particularly those with interests in cellular and molecular biology." (Siam Review, Vol. 45 (2), 2003) “This book will be very interesting and useful for mathematicians, statisticians a…
  table of contents: Motivating Examples and Other Preliminaries -- Biological Background -- The Galton-Watson Process -- The Age-Dependent Process: Markov Case -- The Bellman-Harris Process -- Multitype Processes -- Branching Processes with Infinitely Many Types -- Genealogies of Branching Processes and their Applications -- References.
  note: by Marek Kimmel, David E. Axelrod.
  subject:
    topic: Mathematics
  subject:
    topic: Bioinformatics
  subject:
    topic: Cell biology
  subject:
    topic: Probabilities
  subject:
    topic: Biomathematics
  subject:
    topic: Statistics
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Bioinformatics
  subject:
    topic: Cell Biology
  classification: QH323.5
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Interdisciplinary Applied Mathematics, 19
  identifier: 9781493915590
  identifier: http://dx.doi.org/10.1007/978-1-4939-1559-0
  record info:
    record creation date: 150217
    record change date: 20151103131905.0
    record identifier: 978-1-4939-1559-0