In practice many biological time series measurements, including gene microarrays, are conducted at time points that seem to be interesting in the biologists opinion and not necessarily at fixed time intervals. In many circumstances we are interested in finding targets that are expressed periodically. To tackle the problems of uneven sampling and unknown type of noise in periodicity detection, we propose to use robust regression.