Поле DC | Значение | Язык |
dc.contributor.author | Ter-Levonian, A. S. | - |
dc.contributor.author | Koshechkin, K. A. | - |
dc.date.accessioned | 2022-05-05T07:20:11Z | - |
dc.date.available | 2022-05-05T07:20:11Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Ter-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.uri | http://dspace.bsu.edu.ru/handle/123456789/46603 | - |
dc.description.abstract | Using 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 interacting | ru |
dc.language.iso | en | ru |
dc.subject | medicine | ru |
dc.subject | pharmacology | ru |
dc.subject | Deep Learning | ru |
dc.subject | drug synergy | ru |
dc.subject | informatics | ru |
dc.subject | machine learning | ru |
dc.subject | neural networks | ru |
dc.subject | preclinical study | ru |
dc.title | Review of machine learning technologies and neural networks in drug synergy combination pharmacological research | ru |
dc.type | Article | ru |
Располагается в коллекциях: | Vol. 6, № 3
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