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Published: 18 September 2014

480 Pages | 99 b/w and 10 colour illustrations


ISBN: 9780198709022

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Bookseller Code (AJ)

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

Editor in Chief Christine Sinoquet
Associate Editor Raphaël Mourad

  • This is the first book to provide an in-depth description of the mechanisms underlying cutting-edge methods using probabilistic graphical models for genetics, genomics and postgenomics
  • Promotes the use of powerful models through the provision of well documented examples
  • Demystifies probabilistic graphical models through a didactic exposition
  • Bridges the gap between different scientific worlds helping scientists to better communicate and contributes to the emergence of new transdisciplinary fields of research
  • Provides precise insights into applications in genetics
  • Gives an idea of the huge potential of probabilistic graphical models in genetics, in the broad sense, but also in integrative biology and systems biology

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