Vilo, JaakTretjakov, KonstantinTartu Ülikool. Matemaatika-informaatikateaduskondTartu Ülikool. Arvutiteaduse instituut2013-09-092013-09-092005http://hdl.handle.net/10062/32923The thesis proposes a novel method for the analysis of microarray data based on fitting a specific linear model that combines microarray data with DNA sequence information. The model is both descriptive and predictive: its coefficients provide insight into the structure of the genetic regulatory networks, and its predictive performance may be used to find a set of genes that play important role in transcription regulation (transcription factors). An efficient algorithm is proposed for calculating the least-squares fit for the parameters of the model. The proposed method is tested on a synthetic dataset and the results indicate that the approach is capable of detecting interesting relations in the data.enbakalaureusetöödinformaatikainfotehnoloogiainformaticsinfotechnologyThesis