Sciweavers

Share
BIRD
2007
Springer

Biological Network Inference Using Redundancy Analysis

11 years 9 months ago
Biological Network Inference Using Redundancy Analysis
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective informationtheoretic technique for feature selection. MRNet is compared experimentally to relevance networks (RelNet) and ARACNE, two state-of-the-art information-theoretic network inference methods, on several artificial microarray datasets. The results show that MRNet is competitive with the reference information-theoretic methods on all datasets. In particular, when the assessment criterion attributes a higher weight to precision than to recall, MRNet outperforms the stateof-the-art methods.
Patrick Emmanuel Meyer, Kevin Kontos, Gianluca Bon
Added 12 Aug 2010
Updated 12 Aug 2010
Type Conference
Year 2007
Where BIRD
Authors Patrick Emmanuel Meyer, Kevin Kontos, Gianluca Bontempi
Comments (0)
books