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.

This document is currently not available here.

Share

COinS
 
Apr 13th, 3:00 PM Apr 13th, 4:00 PM

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.