Popovici, VladGoldstein, Darlene R.Antonov, JanineJaggi, RolfDelorenzi, MauroWirapati, Pratyaksha2010-11-302010-11-302010-11-30200910.1186/1471-2105-10-42https://infoscience.epfl.ch/handle/20.500.14299/60401WOS:000264007300001Background: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In order to obtain results that are comparable across assays, a stable normalization strategy is required. In general, the normalization of PCR measurements between different samples uses one to several control genes (e. g. housekeeping genes), from which a baseline reference level is constructed. Thus, the choice of the control genes is of utmost importance, yet there is not a generally accepted standard technique for screening a large number of candidates and identifying the best ones.Breast-Cancer PatientsNormalizationTamoxifenTumorsSelecting control genes for RT-QPCR using public microarray datatext::journal::journal article::research article