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Statistics for Biological Networks

How to Infer Networks from Data
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  • Statistics for Biological Networks on Hardback by Ernst Wit
  • Statistics for Biological Networks on Hardback by Ernst Wit
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Description

An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of statistical methods for describing, modeling, and inferring biological networks using genomic and other types of data. It covers a large variety of modern statistical techniques, such as sparse graphical models, state space models, Boolean networks, and hidden Markov models. The authors address gene transcription data, microRNAs, ChIP-chip, and RNAi data. Along with end-of-chapter exercises, the text includes many real-world examples with implementations using a dedicated R package.

Author Biography:

An expert in the field of statistical bioinformatics, Ernst Wit is a professor of statistics and probability at the University of Groningen. Veronica Vinciotti is a lecturer in statistics at Brunel University. Vilda Purutcuoglu is an instructor in statistics at Middle East Technical University.
Release date Australia
January 26th, 2025
Audience
  • Professional & Vocational
Illustrations
120 Illustrations, black and white
Pages
320
ISBN-13
9781439841471
Product ID
26939974

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