Liquid Association with Application in Gene Expression
- Technology Benefits
- The tool may be applied in any large microarray study First tool that evaluates “change in correlation” First high-throughput bioinformatics tool to explore and exploit the dynamic, as oppose to the static, aspect of gene expression in cells Eliminates the need to specify the cellular state before applying this method
- Technology Application
- Distill large amount of data generated by genomic research Identify a network of relationships between variables in a complex data system and critical cellular players that may affect the co-expression pattern for genes that may participate in more than one pathway Predict the responsiveness of a drug based on the gene profile of the patient
- Detailed Technology Description
- Scientists at UCLA have developed a novel bioinformatics system and method that identifies a network of novel ternary relationships between variables in a complex data system. The method conducts a genome-wide search and identifies the most critical cellular players that may affect the co-expression pattern for genes that may participate in more than one pathway. The tool leads to better understanding about the cellular genetic network. Coupling the gene expression data and drug responsiveness data, this tool can help the search for new drugs or treatments in cancers and other disease studies.
- Supplementary Information
- Patent Number: US7406384B2
Application Number: US2002330007A
Inventor: Li, Ker-Chau
Priority Date: 26 Dec 2001
Priority Number: US7406384B2
Application Date: 24 Dec 2002
Publication Date: 29 Jul 2008
IPC Current: G01N003348 | G06F000700 | G06F001700 | G06F001730 | G06F001924 | G06G000748
US Class: 702019 | 702020 | 703011 | 707999001 | 707001
Assignee Applicant: The Regents of the University of California
Title: System and method for identifying networks or ternary relationships in complex data systems
Usefulness: System and method for identifying networks or ternary relationships in complex data systems
Summary: Identifying high order associations between variables in a complex system e.g. for use when there is no correlation or weak correlation between variables due to the influence of a third variable i.e. a ternary relationship which describes how a variation in the pattern of association between a pair of variables, including its sign and strength, is mediated by a third variable. For application to gene expression data, i.e. the activity of pairs or correlated genes due to the activity of one or more third genes.
Novelty: Database analysis method for identifying associations between variables in database to identify global association patterns in databases to facilitate understanding of complex systems with multiple variables e.g. biological systems
- Industry
- ICT/Telecom
- Sub Category
- IT System
- Application No.
- 7406384
- Others
-
Background
Microarrays are used as a high throughput biochemistry technique for generating data about the quantity of mRNA expressed by each gene in cells of an organism under a set of conditions. The data that is generated, commonly known as a gene expression profile, can be used to infer global cellular activities that would be hard to describe otherwise. However, a problem that arises is that the data tends to be large and complex, making it difficult to analyze and interpret. One way to distill information from microarray data is through the use of correlation. Correlation is a traditional way of summarizing the relationship between any two variables in a system after the collection of empirical data. The term “liquid association” is used to conceptualize the internal evolution of co-expression patterns for a pair of genes in response to constant changes in the cellular state variables. But in extremely complex systems, correlation is hard to observe due to the many variables interacting with each other. There is a need for a bioinformatics tool to help with genomic research by analyzing and interpreting the large number of data involving multiple variables.
Tech ID/UC Case
10244/2002-054-0
Related Cases
2002-054-0
- *Abstract
-
None
- *IP Issue Date
- Jul 29, 2008
- *Principal Investigator
-
Name: Ker Chau Li
Department:
- Country/Region
- USA
