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Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall/CRC Interdisciplinary Statistics (Hardback)
  • Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall/CRC Interdisciplinary Statistics (Hardback)
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Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall/CRC Interdisciplinary Statistics (Hardback)

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£61.99
Hardback 320 Pages / Published: 07/07/2019
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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.

Publisher: Taylor & Francis Ltd
ISBN: 9781439841471
Number of pages: 320
Dimensions: 235 x 156 mm

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