| Download | - View accepted manuscript: Goal Driven Analysis of cDNA Microarray Data (PDF, 1.1 MiB)
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| Author | Search for: Pan, Youlian1; Search for: Zou, Jitao2; Search for: Huang, Yi2; Search for: Liu, Ziying1; Search for: Phan, Sieu1; Search for: Famili, Fazel A.1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
- National Research Council of Canada. NRC Plant Biotechnology Institute
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| Format | Text, Article |
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| Conference | IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Nashville, TN., USA, March 30 - April 02, 2009 |
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| ISBN | 978-1-4244-2756-7 |
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| Subject | Microarray data analysis; gene expression; differentially expressed genes; transcriptional regulation |
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| Abstract | 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 in 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. |
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| Publication date | 2009 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 50745 |
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| NPARC number | 16488512 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 22b4993d-6f62-474f-8fe9-1c465ef73b58 |
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| Record created | 2010-12-03 |
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| Record modified | 2020-04-16 |
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