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Information × Registration Number 0214U005558, 0111U002454 , R & D reports Title To develop new information technology for data analysis in complex object recognition problems. popup.stage_title Head Gupal Anatoliy, Доктор фізико-математичних наук Registration Date 28-01-2014 Organization V.M.Glushkov Institute of Cubernetics of NASU popup.description2 It were derived rules of symmetry in a DNA molecule. Noise stability of the universal genetic code during nucleotide mutations was examined. Based on hidden Markov models it were developed an efficient computational recognition procedures for fragments of genes in a DNA. A set of compositions of algorithm with a division areas of competence was developed using hidden Markov models. Based on Markov models and active particles method it was developed principles for modelling intracellular processes, proteins and RNA molecules. It were developed procedures for recognition malignancy degree of gliomas based on Bayesian network models and modified erythrocyte sedimentation rate indicators. Product Description popup.authors Білецький Б.О. Биць О.В. Гупал А.М. Дідук М.М. Закревська Л.О. Лихоступ С.В. Мостовий В.В. Субботіна О.В. Тарасов А.Л. Чаплінський Ю.П. popup.nrat_date 2020-04-02 Close