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Statistics for Biological Networks

How to Infer Networks from Data

By Ernst Wit, Veronica Vinciotti, Vilda Purutcuoglu

Chapman and Hall/CRC – 2015 – 320 pages

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Purchasing Options:

  • Hardback: $79.95
    978-1-43-984147-1
    August 14th 2015
    Not yet available

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.

Contents

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

Author Bio

An expert in the field of statistical bioinformatics, Ernst Wit is a professor of statistics and probability at the University of Groningen.

Veronica Vinciotti is a lecturer in statistics at Brunel University.

Vilda Purutcuoglu is an instructor in statistics at Middle East Technical University.

Related Subjects

  1. Bioinformatics

Name: Statistics for Biological Networks: How to Infer Networks from Data (Hardback)Chapman and Hall/CRC 
Description: By Ernst Wit, Veronica Vinciotti, Vilda Purutcuoglu. 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...
Categories: Bioinformatics