ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE

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 t...

Full description

Bibliographic Details
Main Author: Klyuchko O. M.
Format: Article
Language:English
Published: National Academy of Sciences of Ukraine and Palladin Institute of Biochemistry of the National Academy of Sciences of Ukraine. 2017-06-01
Series:Biotechnologia Acta
Subjects:
Online Access:http://biotechnology.kiev.ua/images/storage/3_2017/klyuchko_3_2017.pdf
id doaj-6688679393064b1dab3711dbf6251fff
record_format Article
spelling doaj-6688679393064b1dab3711dbf6251fff2020-11-24T23:47:16ZengNational Academy of Sciences of Ukraine and Palladin Institute of Biochemistry of the National Academy of Sciences of Ukraine.Biotechnologia Acta2410-77512410-776X2017-06-01103314010.15407/biotech10.03.031ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINEKlyuchko O. M. 0Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology of the National Academy of Sciences of Ukraine, KyivThe 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.http://biotechnology.kiev.ua/images/storage/3_2017/klyuchko_3_2017.pdfprocessingdata bases
collection DOAJ
language English
format Article
sources DOAJ
author Klyuchko O. M.
spellingShingle Klyuchko O. M.
ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE
Biotechnologia Acta
processing
data bases
author_facet Klyuchko O. M.
author_sort Klyuchko O. M.
title ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE
title_short ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE
title_full ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE
title_fullStr ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE
title_full_unstemmed ON THE MATHEMATICAL METHODS IN BIOLOGY AND MEDICINE
title_sort on the mathematical methods in biology and medicine
publisher National Academy of Sciences of Ukraine and Palladin Institute of Biochemistry of the National Academy of Sciences of Ukraine.
series Biotechnologia Acta
issn 2410-7751
2410-776X
publishDate 2017-06-01
description 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.
topic processing
data bases
url http://biotechnology.kiev.ua/images/storage/3_2017/klyuchko_3_2017.pdf
work_keys_str_mv AT klyuchkoom onthemathematicalmethodsinbiologyandmedicine
_version_ 1725490567079526400