Integrating microRNA expression data and other sources in module network reconstruction.

Biological functions arise from interaction between a defined set ofcomponents, thereby defining modules. Systems biology approachestry to infer module networks from high-throughput 'omics' data. Wehave created a module network algorithm relying on probabilistic opti-mization techniques, capable of integrating heterogeneous data typesfor the candidate regulators. We summarize here the results of theapplication of this algorithm on two different datasets linked to can-cer.

Bonnet, E. (2010) Integrating microRNA expression data and other sources in module network reconstruction. Proceedings of the 6th workshop on computation of biochemical pathways and genetic networks. Logos Verlag Berlin GmbH. Heidelberg, Germany..

• 
• abstract
• 
• link
•