Biotechnologia Acta


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SSN 2410-7751 (Print)
ISSN 2410-776X (Online)

"Biotechnologia Acta" V. 10, No 4, 2017
DOI: 10.15407/biotech10.03.031
Р. 31-40, Bibliography 21, English
Universal Decimal Classification: 004:591.5:612:616-006


Klyuchko O. M.

Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology of the National Academy of Sciences of Ukraine, Kyiv

The aim of the work was to analyze the range of mathematical methods and to choose the most prospective ones from the point of view of application in biology and medicine. After analyzing of approximately 200 current publications, a list of respective methods was completed. This list includes both the most recent, intensively developed methods as well as traditionally used ones — mathematical statistics, stochastic methods, regression analysis, and others. From the first group the methods of cluster analysis, artificial neural networks and image processing were subdivided. A description of each of these methods and examples of their application in practice are given. A separate group is dedicated to complex modern works, in which the problems requiring the complex application of several methods are present. In conclusions a brief assessment of the methods of cluster analysis, artificial neural networks, image processing methods are given as well as recommendations for their practical application.

Key words: processing, data bases.

© Palladin Institute of Biochemistry of National Academy of Sciences of Ukraine, 2017

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