Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall / CRC Interdisciplinary Statistics - Wit, Ernst (USI Universita della Svizzera italiana, Switzerland) - Books - Taylor & Francis Inc - 9781439841471 - February 25, 2027
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Wit, Ernst (USI Universita della Svizzera italiana, Switzerland)
Statistics for Biological Networks: How to Infer Networks from Data - Chapman & Hall / CRC Interdisciplinary Statistics 1st edition

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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.

320 pages, 120 Illustrations, black and white

Media Books     Hardcover Book   (Book with hard spine and cover)
To be released February 25, 2027
ISBN13 9781439841471
Publishers Taylor & Francis Inc
Pages 320
Dimensions 150 × 220 × 20 mm   ·   513 g   (Weight (estimated))
Language English  

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