Supplementary material for "Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data" by Miika Ahdesmäki, Harri Lähdesmäki, Andrew Gracey, Ilya Shmulevich and Olli Yli-Harja

A set of Matlab functions that implement the robust periodicity detection method is available here. (NOTE: BUGFIXES, see more details below*.) The zip-file contains brief instructions. In order to use our tools, you will also need to download the Libra-toolbox. We will also implement the methods in R and our implementation will be included in the GeneCycle package. * 30.05.2008: The DC-component and in case N even also the pi-frequency-component (i.e. the components with just one degree of freedom) were accidentally considered in evaluating the significance (i.e., p-value) of the g-statistic. The bug has been fixed and only affected the unknown-frequency scenario The bug did not affect the results in the published paper. ** 12.07.2008: A minor bug in fitting the sinusoidal with the highest frequency has been fixed. Gene expression data analyzed in the article will be made available for download at ArrayExpress. Another robust, rank-based periodicity detection method can be found from here.