On finding and interpreting patterns in gene expression data from time course experiments
Microarrays are being widely used for studying gene activity throughout a cell cycle. A common aim is to find those genes that are expressed during specific phases in the cycle. The challenges lie in the extremely large number of genes being measured simultaneously, the relatively short length of the time course studied and the high level of noise in the data. Using a well-known yeast cell cycle data set, we compare a method being used for finding genes following a periodic time series pattern...[Show more]
|Collections||ANU Research Publications|
|Book Title:||Pattern Recognition in Bioinformatics: proceedings of the 3rd International Workshop on Pattern Recognition in Bioinformatics|
|01_Pittelkow_On_finding_and_interpreting_2008.pdf||425.27 kB||Adobe PDF|
|02_Pittelkow_On_finding_and_interpreting_2008.pdf||161.88 kB||Adobe PDF|
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