The IRIDESCENT System: An Automated Data-Mining Method to Identify, Evaluate, and Analyze Sets of Relationships Within Textual Databases

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The IRIDESCENT System: An Automated Data-Mining Method to Identify, Evaluate, and Analyze Sets of Relationships Within Textual Databases

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dc.contributor.advisor Garner, Harold R. en
dc.creator Wren, Jonathan Daniel en
dc.date.accessioned 2010-07-12T16:23:35Z en
dc.date.available 2010-07-12T16:23:35Z en
dc.date.issued 2003-02-01 en
dc.identifier.other en
dc.identifier.uri http://hdl.handle.net/2152.5/230 en
dc.description.abstract Individuals are limited in their ability to read, remember and compare relationships within the vast amount of scientific literature available. This is not only because the amount of literature is increasing exponentially, but the number of things being researched within is as well. Adding to the scale of analysis are new technologies that increase the rate by which data is being gathered from scientific experiments. For most areas of research interest, the scale of analysis exceeds an individual's ability to be aware of all the relationships contained within. Thus, an informatics approach is necessary to identify large-scale trends, shared relationships and novel relationships that are not contained within the literature, but are the logical consequence of the relationships that are. A system has been designed to establish a network of relationships between "objects" of research interest (e.g. genes, chemical compounds, drugs, diseases and clinical phenotypes) by extracting information from scientific text in an automated manner. This system, called IRIDESCENT (Implicit Relationship IDEntification by in-Silico Construction of an Entity-based Network from Text), enables the discovery of novel relationships by identifying and scoring objects sharing large sets of relationships with an object of interest. IRIDESCENT also allows sets of objects to be analyzed for shared relationships, such as responding genes from a microarray experiment. Herein is described the development and workings of IRIDESCENT as well as several well-developed applications of the system. en
dc.format.medium Electronic en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.subject Data Mining en
dc.subject Pattern Recognition, Automated en
dc.subject Information Storage and Retrieval en
dc.title The IRIDESCENT System: An Automated Data-Mining Method to Identify, Evaluate, and Analyze Sets of Relationships Within Textual Databases en
dc.type.material Text en
dc.type.genre dissertation en
dc.format.digitalOrigin born digital en
thesis.degree.grantor Graduate School of Biomedical Sciences en
thesis.degree.department en
thesis.degree.name Doctor of Philosophy en
thesis.degree.level Ph.D. en
thesis.degree.discipline en
thesis.date.available 2004-01-24 en

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