Molecular Mining Corp to Present in March

Roland Somogyi, Ph.D., CSO of Molecular Mining Corporation and Stephen Misener, Ph.D., Product Manager, will be presenting at conferences in San Francisco and Benelux this month.

Dr. Somogyi spoke at the CHI Genome Tri-Conference 2001 on March 8 at the Fairmont Hotel. His talk is titled "From Genes to Dynamic Molecular Networks." He says, "While clustering co-expression profiles may aid in the exploration of shared regulatory inputs and functional pathways, we must take the next step of identifying direct causal relationships, i.e., who is regulating whom and how. There are several approaches to this problem of network reverse engineering, ranging from discrete, to continuous linear and non-linear models. Opportunities are now arising for taking a major leap forward in data mining for the discovery of highly valuable predictive relationships, in silico exploration of global behavior in network models, and systematic experimental design to provide the biological facts for network inference.

Dr. Misener's talk is titled "Making Sense of Gene Expression Data". He will give this talk in Antwerp on March 12 and in Amsterdam on March 13.

The focus of the talk will be an introduction to data mining concepts as they apply to gene expression data. Techniques ranging from data exploration through advanced inference and prediction methods will be discussed. An overview of Molecular Mining's new GeneLinker Gold software product will be a highlight of the presentation.

Dr. Somogyi has over ten years of experience in academic, government and industry research, most recently as Director of Neurobiology at Incyte Pharmaceuticals, a recognized leader in the area of gene networks and pathways based on gene expression data.

Dr. Misener is well known in Molecular Biology and Bioinformatics, having co-edited the book Bioinformatics: Methods and Protocols. The talk is sponsored by B&L Systems, Molecular Mining Corporation's distributor in Belgium, the Netherlands and Luxembourg.

Molecular Mining Corporation specializes in the exploration, inference and prediction of molecular networks derived from gene expression, proteomics and SNPs (single nucleotide polymorphisms) data, and the application of these network models to diagnostic and drug target identification, predictive toxicology and in silico drug screening.

Contact Molecular Mining Corporation, Loraine Haddon, 613-547-9752, lhaddon@molecularmining.com, www.molecularmining.com.