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| Fractal Genomic Modeling (FGM) |
The Fractal Genomics Modeling (FGM) was acquired by HDVY to find discriminate relationships within clinical datasets as well as within gene expression datasets created from micro-arrays of disease versus normal tissues. Using FGM HDVY scientists have been able to access information in micro-array datasets. The data analysis technique has been shown to improve the mapping of genetic pathways involved in the diagnosis and prevention of certain diseases. HDVY scientists feel that these analytic methods are effective for finding genes implicated in several cancers, HIV infection, lymphedema, Down's syndrome, and a host of other diseases, as well as the pharmacogenetic profiling of patients.
Fractal Genomics Modeling (FGM) technology is designed to study complex networks. A complex network can be made up of genes inside a living organism, web pages on the Internet, stocks within a financial market, or any group of objects or processes that appear to be connected together in some intricate way. FGM uses a new approach toward modeling network behavior to rapidly generate diagrams and software simulations that facilitate prediction and analysis of whatever process is your particular object of study. Two important concepts behind FGM technology are the notions of scale-free networks and self-similarity.
The Fractal Genomics Modeling Process
The FGM process starts out by creating a special mathematical surface (the FGM surface) where every point on the surface can be used to generate a network model with varying degrees of scale-free and fractal properties.
Using user-supplied data, models which best match the behavior of each node are selected and represented by a point on the FGM surface. These point-models are then linked, compared, and combined to generate diagrams which reflect the behavior of the entire network
Benefits of Fractal Genomics Modeling
The end result of the modeling process is a diagram such as the figure below. Circles represent nodes in the network and arrows represent directions of causality or "flow" through the network. FGM derived diagrams expedite forecasting, analysis, and study of complex system behavior by clearly displaying all hubs, links, and flow in the network. These diagrams also serve as flow charts and schematics from which to build software simulations of the network. The FGM process can also be used to quickly search for networks and connections between processes and between objects that appear to be unrelated.
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FGM PATENTS OWNED BY HDVY
US Patent Application
09/766,247,
filed Jan 19, 2001
US Patent Application
10/887,624,
filed July 10, 2004
US Patent Applicationv 10/932,920,
filed Sept 2, 2004
US Patent Application
Docket No. 115001-010,
filed Oct 5, 2004
PCT Patent Application
Serial No. PCT/US 01/01863,
filed Jan 19, 2001
PCT Application
Serial No. PCT/US 04/22157,
filed July 10, 2004
PCT Patent Application
Serial No. PCT/US 04/28576,
filed Sept 2, 2004
Click here to view complete intellectual property portfolio.
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