|Title||Robust test method for time-course microarray experiments.|
|Publication Type||Journal Article|
|Year of Publication||2010|
|Authors||Sohn, Insuk, Kouros Owzar, Stephen L. George, Sujong Kim, and Sin-Ho Jung|
|Date Published||2010 Jul 22|
|Keywords||Adult, Aged, Aged, 80 and over, Algorithms, Animals, Arthritis, Rheumatoid, Caenorhabditis elegans, Computer Simulation, Gene Expression Profiling, Humans, Middle Aged, Oligonucleotide Array Sequence Analysis, Regression Analysis, Time Factors, Young Adult|
BACKGROUND: In a time-course microarray experiment, the expression level for each gene is observed across a number of time-points in order to characterize the temporal trajectories of the gene-expression profiles. For many of these experiments, the scientific aim is the identification of genes for which the trajectories depend on an experimental or phenotypic factor. There is an extensive recent body of literature on statistical methodology for addressing this analytical problem. Most of the existing methods are based on estimating the time-course trajectories using parametric or non-parametric mean regression methods. The sensitivity of these regression methods to outliers, an issue that is well documented in the statistical literature, should be of concern when analyzing microarray data.RESULTS: In this paper, we propose a robust testing method for identifying genes whose expression time profiles depend on a factor. Furthermore, we propose a multiple testing procedure to adjust for multiplicity.CONCLUSIONS: Through an extensive simulation study, we will illustrate the performance of our method. Finally, we will report the results from applying our method to a case study and discussing potential extensions.
|Alternate Journal||BMC Bioinformatics|
|Original Publication||Robust test method for time-course microarray experiments.|
|PubMed Central ID||PMC2914731|
|Grant List||P01 CA142538 / CA / NCI NIH HHS / United States |
CA142538 / CA / NCI NIH HHS / United States
Robust test method for time-course microarray experiments.