Multivariate curve resolution of time course microarray data |
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| Authors: | Peter D Wentzell Tobias K Karakach Sushmita Roy M Juanita Martinez Christopher P Allen Margaret Werner-Washburne |
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| Affiliation: | (1) Department of Chemistry, Dalhousie University, Halifax, NS B3H 4J3, Canada;(2) Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA |
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| Abstract: | Background Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), independent component analysis (ICA), or other methods. Such methods do not generally yield factors with a clear biological interpretation. Moreover, implicit assumptions about the measurement errors often limit the application of these methods to log-transformed data, destroying linear structure in the untransformed expression data. |
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