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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Barrett, Gregory Morgan

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-031610-141613

Advisor

• Ruiz, Carolina
• Ryder, Elizabeth F.

Year

• 2010

Date created

• 2010-03-16

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright

Last modified

• 2021-02-02