GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods

• Published in: Bioinformatics, vol. 27, num. 16, p. 2263-2270
• Oxford University Press, 2011

Motivation: Over the last decade, numerous methods have been developed for inference of regulatory networks from gene expression data. However, accurate and systematic evaluation of these methods is hampered by the difficulty of constructing adequate benchmarks and the lack of tools for a differentiated analysis of network predictions on such benchmarks.

Keywords: reverse engineering ; gene regulatory networks ; performance assessment ; network motifs ; DREAM challenge ; community experiment

Reference

• EPFL-ARTICLE-166759
• doi:10.1093/bioinformatics/btr373
• View record in Web of Science

Record created on 2011-06-11, modified on 2012-03-21