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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/46603
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dc.contributor.authorTer-Levonian, A. S.-
dc.contributor.authorKoshechkin, K. A.-
dc.date.accessioned2022-05-05T07:20:11Z-
dc.date.available2022-05-05T07:20:11Z-
dc.date.issued2020-
dc.identifier.citationTer-Levonian A.S. Review of machine learning technologies and neural networks in drug synergy combination pharmacological research / A.S. Ter-Levonian, K.A. Koshechkin // Research Results in Pharmacology. - 2020. - Vol.6, №3.-P. 27-32. - Doi: 10.3897/rrpharmacology.6.49591.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/46603-
dc.description.abstractUsing machine learning (in silico) allows predicting how to get the right combination of drugs and skip the experimental steps in a study that take a lot of time and financial expenses. Gradual preparation is needed for the Deep Learning of Drug Synergy, starting from creating a base of drugs, their characteristics and ways of interactingru
dc.language.isoenru
dc.subjectmedicineru
dc.subjectpharmacologyru
dc.subjectDeep Learningru
dc.subjectdrug synergyru
dc.subjectinformaticsru
dc.subjectmachine learningru
dc.subjectneural networksru
dc.subjectpreclinical studyru
dc.titleReview of machine learning technologies and neural networks in drug synergy combination pharmacological researchru
dc.typeArticleru
Appears in Collections:Vol. 6, № 3

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