Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data |
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Authors: | Sudhakar Jonnalagadda Rajagopalan Srinivasan |
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Affiliation: | (1) Department of Chemical and Biomolecular Engineering, National University of Singapore, 10 Kent Ridge, Crescent, Singapore |
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Abstract: | Background Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differentially expressed in time-course data, measured between different biological conditions. These differentially expressed genes can reveal the changes in biological process due to the change in condition which is essential to understand differences in dynamics. |
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