Faculty Advisor

Ruiz, Carolina

Faculty Advisor

Ryder, Elizabeth F

Abstract

In this project, we constructed classification models for gene expression based on association rules. Gene expression patterns from cell types in the nematode C. elegans were used. The promoter regions associated with these genes were gathered. Motifs were mined from this data set. Multiple methods were used to select subsets of these motifs. Classification models were built from these subsets. The performance of these models was analyzed. A novel method of selecting motifs was shown to produce the best models.

Publisher

Worcester Polytechnic Institute

Date Accepted

March 2010

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Advisor Department

Biology and Biotechnology

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