EGAD: ultra-fast functional analysis of gene networks.

ABSTRACT:

Summary

Evaluating gene networks with respect to known biology is a common task but often a computationally costly one. Many computational experiments are difficult to apply exhaustively in network analysis due to run-times. To permit high-throughput analysis of gene networks, we have implemented a set of very efficient tools to calculate functional properties in networks based on guilt-by-association methods. ( xtending ' uilt-by- ssociation' by egree) allows gene networks to be evaluated with respect to hundreds or thousands of gene sets. The methods predict novel members of gene groups, assess how well a gene network groups known sets of genes, and determines the degree to which generic predictions drive performance. By allowing fast evaluations, whether of random sets or real f

SUBMITTER: Ballouz S 

PROVIDER: S-EPMC6041978 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature