Concept Lattice Analysis for Annotation Objects.
Degree: Master of Computer Science, Computer Science and Systems Analysis, 2009, Miami University
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
Advisors/Committee Members: Cross, Valerie (Advisor).
Subjects/Keywords: Computer Science; gene ontology; concept lattice analysis; concept lattice similarity; concept approximatioin
lattice as an extent or an intent of an existing concept.
Measures of concept similarity… …of the concept lattice in the similarity assessment by considering two
different factors… …2006; Hu et al, 2007; Choi et al 2006).
Building the concept lattice of a binary… …x28;1982) proposed to consider each element in
the… …between concepts. With this interpretation the lattice
represents a concept hierarchy. Many…
to Zotero / EndNote / Reference
APA (6th Edition):
Yi, W. (2009). Concept Lattice Analysis for Annotation Objects. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1251845808
Chicago Manual of Style (16th Edition):
Yi, Wenting. “Concept Lattice Analysis for Annotation Objects.” 2009. Masters Thesis, Miami University. Accessed June 17, 2019.
MLA Handbook (7th Edition):
Yi, Wenting. “Concept Lattice Analysis for Annotation Objects.” 2009. Web. 17 Jun 2019.
Yi W. Concept Lattice Analysis for Annotation Objects. [Internet] [Masters thesis]. Miami University; 2009. [cited 2019 Jun 17].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1251845808.
Council of Science Editors:
Yi W. Concept Lattice Analysis for Annotation Objects. [Masters Thesis]. Miami University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1251845808