Network Inference in Molecular Biology A Hands-on Framework /

• Main Authors: Lingeman, Jesse M. (Author), Shasha, Dennis (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2012.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Algorithms.; Bioinformatics.; Computer Science.; Computational Biology/Bioinformatics.; Algorithm Analysis and Problem Complexity.

Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for ever...

Table of Contents:

• The Gene Network Inference Problem
• Experimental Inputs
• Running Examples
• Overall Workflow of Inference
• Sample Pipelines
• Roll Your Own Pipeline
• Appendix.