Media.Player

Method to identify disease biomarkers from gene expression data using attractor metagenes

總結

With recent advances in sequencing technology and data mining algorithms, it is now feasible to analyze large data sets of gene expression profiles in order to identify genes that are associated with a given disease. However, current data mining algorithms often identify false positives for disease associations, and are also unable to isolate genes that are responsible for a single phenotype or biological event that occurs during the course of a given disease. This technology is a method that captures information most important to disease phenotype from publically available gene expression profiles. The technology uses "attractor metagenes" to identify biomarkers that can point to the core of the underlying biological mechanisms of a given disease. A metagene is a linear combination of individual genes that represent biological phenotypes developed to simplify gene expression data. As such, this technology facilitates gene expression data mining by identifying and grouping the most pertinent genes related to a specific disease phenotype, which may then serve as biomarkers for diagnosis, prognosis, and choice of therapeutic treatment for a given disease.

技術優勢

Attractor metagenes can be easily viewed in a linear formatAttractor metagenes group together only the most pertinent individual genes extracted from large data sets of gene expression profiles No prior knowledge of gene function or gene interaction is needed.Attractor metagenes can accurately portray a single phenotype or biological event that occurs during the course of a given diseasePatent information:Patent Pending (US 20150105272)Tech Ventures Reference: IR CU12283

技術應用

Method to data mine for genetic biomarkers of a specific disease phenotypeBiomarkers to assist in diagnosis/prognosis/treatment choice for a given diseaseResearch tool to help understand underlying mechanisms behind diseases for better drug target discovery

詳細技術說明

None

*Abstract

None

*Inquiry

Beth KaudererColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu

*IR

CU12283

*Principal Investigation

國家/地區

美國