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Statistics for Biological Networks: How to Infer Networks from Data
Hardcover
Series: Chapman & Hall/CRC Interdisciplinary Statistics
BiologyProbability & Statistics
ISBN13: 9781439841471
Publisher: CRC Press
Published: Aug 28 2027
Pages: 320
Language: English
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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