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Statistics for Biological Networks

- How to Infer Networks from Data

Statistics for Biological Networksav Ernst (USI Universita della Svizzera italiana Wit
Om Statistics for Biological Networks

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781439841471
  • Bindende:
  • Hardback
  • Sider:
  • 320
  • Utgitt:
  • 26. januar 2026
  • Dimensjoner:
  • 156x234x0 mm.
  Gratis frakt
Leveringstid: Kan forhåndsbestilles
  • Boken er tilgjengelig for forhåndsbestilling 3 måneder før publiseringsdatoen

Beskrivelse av Statistics for Biological Networks

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.

Brukervurderinger av Statistics for Biological Networks



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