Gene Network Inference Verification of Methods for Systems Genetics Data /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Fuente, Alberto de la. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Subjects: Life sciences.; Gene expression.; Bioinformatics.; Systems biology.; Computational biology.; Biological systems.; Life Sciences.; Systems Biology.; Biological Networks, Systems Biology.; Computer Appl. in Life Sciences.; Gene Expression.
• Online Access: View fulltext via EzAccess

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaini...

Table of Contents:

• Simulation of the Benchmark Datasets
• A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context
• Benchmarking a simple yet effective approach for inferring gene regulatory networks from systems genetics data
• Differential Equation based reverse-engineering algorithms: pros and cons
• Gene regulatory network inference from systems genetics data using tree-based methods
• Extending partially known networks
• Integration of genetic variation as external perturbation to reverse engineer regulatory networks from gene expression data
• Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data.