Statistics for Biological Networks: How to Infer Networks from Data (Chapman & Hall/CRC Interdisciplinary Statistics) - Image 1

£91.99

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

Name: Statistics for Biological Networks: How to Infer Networks from Data (Chapman & Hall/CRC Interdisciplinary Statistics)
Brand: Chapman and Hall/CRC
Price: 91.99 GBP
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Biological Science

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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.

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1439841470
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 28 August 2027
Listed Since: 15 February 2010

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

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