Bayesian networks in R with applications in systems biology Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre

Format:

Book

Author/Creator:

Nagarajan, Radhakrishnan

Contributor:

Scutari, Marco

Lèbre, Sophie

Series:

Use R! 48

Language:

English

Subjects (All):

Bayesian statistical decision theory.

R (Computer program language).

Systems biology--Statistical methods.

Systems biology.

Physical Description:

1 online resource

Place of Publication:

New York, NY Springer ©2013

Language Note:

English

System Details:

text file

PDF

Summary:

Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters with exercises and solutions for enhanced understanding and hands-on experimentation of key concepts. Applications focus on systems biology with emphasis on modeling pathways and signaling mechanisms from high throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regards as exemplified by their ability to discover new associations while validating known ones. It is also expected that the prevalence of publicly available high-throughput biological and healthcare data sets may encourage the audience to explore investigating novel paradigms using the approaches presented in the book

Contents:

Introduction Bayesian Networks in the Absence of Temporal Information Bayesian Networks in the Presence of Temporal Information Bayesian Network Inference Algorithms Parallel Computing for Bayesian Networks

Notes:

Includes bibliographical references and index

Other Format:

Print version: Nagarajan, Radhakrishnan. Bayesian Networks in R . With Applications in Systems Biology

ISBN:

9781461464464

1461464463

OCLC:

842137782

Access Restriction:

Restricted for use by site license