Ogul, HasanTuncer, M. Emre2024-02-282024-02-282015978-3-319-11127-81680-0737http://hdl.handle.net/11727/11691Given the promoter sequence of a microRNA, we attempt to predict its expression using a regression model learnt from the expression levels of other microRNAs obtained through a microarray experiment. To our knowledge, this is the first study that evaluates the predictability of microRNA expression from sequence. The promising results encourage the use of the system as a supporting means for microarray missing data imputation or completing old experiments with new explorations.enginfo:eu-repo/semantics/closedAccessRegression analysisRelevance Vector Machinesmicroarray data analysismicroRNA regulation. missing data imputationpromoter elementsConference Object45602602000349454200150