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Viser: Statistics for Biological Networks - How to Infer Networks from Data
Statistics for Biological Networks
How to Infer Networks from Data
Ernst Wit, Veronica Vinciotti og Vilda Purutcuoglu
(2022)
Sprog: Engelsk
Taylor & Francis Group
862,00 kr.
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Detaljer om varen
- Hardback: 320 sider
- Udgiver: Taylor & Francis Group (April 2022)
- Forfattere: Ernst Wit, Veronica Vinciotti og Vilda Purutcuoglu
- ISBN: 9781439841471
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.
Introduction From clusters to networks Visualizing networks Inferring network topology Network evolution Network parameters Network identification Adjacency matrices Finding modules Finding pathways Finding (sub)networks Static network models Linear models Graphical models Boolean network models Dynamic network models Single cell dynamics State space modeling Dynamic graphical models Differential equation models Inference with networks Networks as explanatory variables Survival analysis
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