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.
- ISBN10 1439841497
- ISBN13 9781439841495
- Publish Date 30 June 2019
- Publish Status Active
- Publish Country GB
- Publisher Taylor & Francis Ltd
- Imprint Chapman & Hall/CRC
- Format eBook
- Pages 320
- Language English