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Concept Lattice Analysis for Annotation Objects

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2009, Master of Computer Science, Miami University, Computer Science and Systems Analysis.
The Gene Ontology (GO) provides a terminology to describe biological concepts and their relationships in a consistent and species-independent manner. Recent research has begun exploring the use of formal concept analysis (FCA) on annotated biological objects such as genes and gene products to discover the similarity and relationships among them. This thesis has produced a generic FCA software tool that creates a variety of concept lattices and incorporates the structure of the ontological terminology used for annotations. The user can tailor the creation of the concept lattices based on characteristics of the annotations and view a 3D visualization of the results. Numerous querying capabilities for exploring the resulting concept lattices are also included. Real-world data including a breast-cancer gene list from the University of Cincinnati's Childrens' Hospital and Medical Center and a well-known set of gene products GPD194 from the research literature are used to evaluate the FCA software.
Valerie Cross, PhD (Advisor)
Alton Sanders, PhD (Committee Member)
Michael Zmuda, PhD (Committee Member)
137 p.

Recommended Citations

Citations

  • Yi, W. (2009). Concept Lattice Analysis for Annotation Objects [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1251845808

    APA Style (7th edition)

  • Yi, Wenting. Concept Lattice Analysis for Annotation Objects. 2009. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1251845808.

    MLA Style (8th edition)

  • Yi, Wenting. "Concept Lattice Analysis for Annotation Objects." Master's thesis, Miami University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=miami1251845808

    Chicago Manual of Style (17th edition)