Event Title
Searching for Temporal Patterns in Gene Expression Profiles
Presentation Type
Poster/Portfolio
Presenter Major(s)
Information Systems, Finance
Mentor Information
Guenter Tusch, tuschg@gvsu.edu
Department
School of Computing and Information Systems
Location
Kirkhof Center KC 69
Start Date
13-4-2011 3:00 PM
End Date
13-4-2011 4:00 PM
Keywords
Health, Illness, and Healing, Life Science, Mathematical Science, Technology
Abstract
Before a researcher starts a project, he/she has to develop a hypothesis for the research. In medicine or biology research is often based on many measurements that have been obtained at different points in time. The biologist looks at these values not as individual points, but as a progression over time. Our program will help the researcher find these patterns in large sets of data. A researcher will be able to communicate between three different computer programs: one which stores selected microarray data from the National Center for Biotechnology Information's Gene Expression Omnibus (NCBI GEO), one that allows translating the temporal measurements into time intervals, and one that allows the researcher to define temporal concepts like “peaks†based on those intervals. Then she can search for genes that exhibit that particular pattern within the previously selected data pool. We present a web-based interface that makes the first of those programs easier for the researcher to use.
Searching for Temporal Patterns in Gene Expression Profiles
Kirkhof Center KC 69
Before a researcher starts a project, he/she has to develop a hypothesis for the research. In medicine or biology research is often based on many measurements that have been obtained at different points in time. The biologist looks at these values not as individual points, but as a progression over time. Our program will help the researcher find these patterns in large sets of data. A researcher will be able to communicate between three different computer programs: one which stores selected microarray data from the National Center for Biotechnology Information's Gene Expression Omnibus (NCBI GEO), one that allows translating the temporal measurements into time intervals, and one that allows the researcher to define temporal concepts like “peaks†based on those intervals. Then she can search for genes that exhibit that particular pattern within the previously selected data pool. We present a web-based interface that makes the first of those programs easier for the researcher to use.