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: Information Processing and Biological Systems
  name:
    name part: Niiranen, Samuli.
    role:
      role term: editor.
  name:
    name part: Ribeiro, Andre.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 230 p. online resource.
  abstract: Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.
  table of contents: Biological Information and Natural Selection -- Swarm-based Simulations for Immunobiology -- Biological Limits of Hand Preference Learning Hiding Behind the Genes -- Stochastic Gene Expression and the Processing and Propagation of Noisy Signals in Genetic Networks -- Boolean Threshold Networks: Virtues and Limitations for Biological Modeling -- Structure-dynamics relationships in biological networks -- Large-scale statistical inference of gene regulatory networks: Local network-based measures -- Information Propagation in the Long-Term Behavior of Gene Regulatory Networks -- Natural Language and Biological Information Processing.
  note: edited by Samuli Niiranen, Andre Ribeiro.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Bioinformatics
  subject:
    topic: Systems biology
  subject:
    topic: Computational intelligence
  subject:
    topic: Complexity, Computational
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Systems Biology
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Complexity
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Intelligent Systems Reference Library, 11
  identifier: 9783642196218
  identifier: http://dx.doi.org/10.1007/978-3-642-19621-8
  record info:
    record creation date: 110310
    record change date: 20151030051610.0
    record identifier: 978-3-642-19621-8