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A systems biology method to predict oncogenes and perturbation targets on a cellular level

Summary

Andrea Califano, Ph.D.

Technology Benefits

Considers multiple levels of cellular relationships dysregulated during cancer progression Predicts which molecular interactions, as opposed to which genes, are dysregulated in a particular tumor phenotypeConsistently outperformed existing methods such as differential expression analysis in identifying key oncogenes and secondary effector genes.Patent Information:Patent Pending (WO/2009/092024)Tech Ventures Reference: IR 2339

Technology Application

Prediction of diagnostic markers and/or therapeutic targets for various cancers and other diseasesDevelopment of personalized diagnostic and therapeutic cancer solutionsResearch tool to generate hypotheses about network interactions in any cellular contextGenerating interactome databases for various cell types

Detailed Technology Description

Andrea Califano, Ph.D.

Country/Region

USA

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