A pattern recognition based model for characterizing and predicting glucose-binding sites - [by] Houssam Georges Nassif

Simple item page
dc.contributor.authorNassif, Houssam Georges
dc.contributor.departmentDepartment of Computer Science
dc.contributor.facultyFaculty of Arts and Sciences
dc.contributor.institutionAmerican University of Beirut
dc.date2006
dc.date.accessioned2012-06-13T07:09:45Z
dc.date.available2012-06-13T07:09:45Z
dc.date.issued2006
dc.descriptionThesis (M.S.)--American University of Beirut, Dept. of Computer Science, 2006.;"Advisor: Dr. Walid Keyrouz, Assistant Professor, Computer Science--Member of Committee: Dr. Chiraz Benabdelkader, Assistant Professor, Computer Science--Member of Committee: D
dc.descriptionBibliography: leaves 85-90.
dc.description.abstractGlucoses are single-unit sugars that play essential roles in many biochemical pa thways within the cell. To realize these roles, glucose binds to protein molecul es at specific binding sites. The biochemical process by which the glucose or an y other liga
dc.format.extentxii, 90 leaves : ill. 30 cm.
dc.identifier.urihttp://hdl.handle.net/10938/7179
dc.language.isoen
dc.relation.ispartofTheses, Dissertations, and Projects
dc.subject.classificationT:004812 AUBNO
dc.subject.lcshPattern perception
dc.subject.lcshArtificial intelligence
dc.subject.lcshMachine learning
dc.subject.lcshGlucose
dc.titleA pattern recognition based model for characterizing and predicting glucose-binding sites - [by] Houssam Georges Nassif
dc.typeThesis

Files

Collections

AUB Students' Theses, Dissertations, and Projects