|
Activity Number:
|
23
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #307182 |
|
Title:
|
Quantitative Association Rules Applied to the Analysis of cDNA Microarray Experiments
|
|
Author(s):
|
Younhee Ko*+ and Bruce Southey and Chengxiang Zhai and Sandra Rodriguez-Zas
|
|
Companies:
|
University of Illinois and University of Illinois and University of Illinois and University of Illinois
|
|
Address:
|
1004 W. Main Street, Urbana, IL, 61801,
|
|
Keywords:
|
microarray ; gene expression ; association rule
|
|
Abstract:
|
cDNA microarray experiments are used to simultaneously measure the expression of thousands of genes across conditions. Association rules were applied to a honey bee microarray experiment that examined the expression of 9,000 cDNAs at 5 time points. After normalization and analysis using a two-stage linear mixed model, least-square mean estimates at each time point were used to characterize the expression patterns of each cDNA. Quantitative association rules were applied to the least-squares means of the cDNAs with differential expression using a predetermined threshold based on the expected adjusted expression of all genes. Several known relationships between genes were confirmed and novel ones were uncovered. Association rules provided an effective approach to extract meaningful information from microarray studies.
|
