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Identifying significant temporal variation in time course microarray data without replicates |
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| Authors: | Stephen C Billups Margaret C Neville Michael Rudolph Weston Porter and Pepper Schedin |
| Institution: | (1) Department of Mathematical and Statistical Sciences, University of Colorado, Denver, Colorado, USA;(2) Department of Physiology, University of Colorado, Aurora, Colorado, USA;(3) Department of Pathology, University of Colorado, Aurora, Colorado, USA;(4) Department of Interactive Biosciences, Texas A & M University,College Station, Texas, USA;(5) Department of Medicine, Colorado Cancer Center,AMC Cancer Research Center,University of Colorado, Aurora, Colorado, USA |
| Abstract: | BackgroundAn important component of time course microarray studies is the identification of genes that demonstrate significant time-dependent variation in their expression levels. Until recently, available methods for performing such significance tests required replicates of individual time points. This paper describes a replicate-free method that was developed as part of a study of the estrous cycle in the rat mammary gland in which no replicate data was collected. |
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