TY - GEN
T1 - Goal driven analysis of cDNA microarray data
AU - Pan, Youlian
AU - Zou, Jitao
AU - Huang, Yi
AU - Liu, Ziying
AU - Phan, Sieu
AU - Famili, Fazel A.
PY - 2009
Y1 - 2009
N2 - Microarray technology has been used extensively for high throughput gene expression studies. Many bioinformatics tools are available for analysis of microarray data. In the data mining process, it is important to be goal oriented so that a set of proper tools can be assembled for the targeted knowledge discovery process. In this paper, we tackle this issue by using a microarray dataset from Brassica endosperm together with EST data to validate our process. We were most interested in which genes are highly expressed in1 Brassica endosperm and their variations and functions over various stages in embryo development. We also performed gene characterization based on gene ontology analysis. Our results indicate that designing a specific data mining workflow that considers both the log ratio and signal intensity enhances knowledge discovery process. Through this approach, we were able to find the regulatory relationship between two most important transcription factors, LEC1 and WRI1 in the endosperm of Brassica napus.
AB - Microarray technology has been used extensively for high throughput gene expression studies. Many bioinformatics tools are available for analysis of microarray data. In the data mining process, it is important to be goal oriented so that a set of proper tools can be assembled for the targeted knowledge discovery process. In this paper, we tackle this issue by using a microarray dataset from Brassica endosperm together with EST data to validate our process. We were most interested in which genes are highly expressed in1 Brassica endosperm and their variations and functions over various stages in embryo development. We also performed gene characterization based on gene ontology analysis. Our results indicate that designing a specific data mining workflow that considers both the log ratio and signal intensity enhances knowledge discovery process. Through this approach, we were able to find the regulatory relationship between two most important transcription factors, LEC1 and WRI1 in the endosperm of Brassica napus.
UR - https://www.scopus.com/pages/publications/67650403386
UR - https://www.scopus.com/pages/publications/67650403386#tab=citedBy
U2 - 10.1109/CIBCB.2009.4925727
DO - 10.1109/CIBCB.2009.4925727
M3 - Conference contribution
AN - SCOPUS:67650403386
SN - 9781424427567
T3 - 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2009 - Proceedings
SP - 186
EP - 192
BT - 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2009 - Proceedings
T2 - 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2009
Y2 - 30 March 2009 through 2 April 2009
ER -