Matematicheskaya Biologiya i Bioinformatika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Mat. Biolog. Bioinform.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Matematicheskaya Biologiya i Bioinformatika, 2011, Volume 6, Issue 1, Pages 115–146 (Mi mbb71)  
This article is cited in 3 scientific papers (total in 3 papers)

Proceedings of The International Conference "Mathematical Biology and Bioinformatics"

Study of effects of clinical and genetic factors on severity of discirculatory encephalopathy with the help of pattern recognition methods

A. V. Kuznetsovaa, I. V. Kostomarovab, N. N. Vodolaginab, N. A. Malyginab, O. V. Senkoc

a N. M. Emanuel Institute for Biochemical Physics of the RAS, Moscow, Russia
b Russian State Medical University, Scientific and Clinical Center of Gerontology, Moscow, Russia
c Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS, Moscow, Russia
Full-text PDF (1127 kB) Citations (3)
References:
PDF
HTML
Abstract: The paper presents the results of studies aimed to assess effects of clinical, biochemical indices and also polymorphous variants of genes coding angiotensin-converting enzyme (ACE), lipoprotein lipase (LPL) and cholesteryl ester transfer protein (CETP) on discirculatory encephalopathy (DEP) severity. Methods of intellectual data analysis based on searching optimal partitions of feature space and different pattern recognition techniques were used during the research. It was found that statistically valid relationship exists between computer estimates of DEP severity that are calculated by set of clinical and biochemical parameters with the help of pattern recognition techniques and polymorphous variants of genes coding APF and CETP.
Key words: discirculatory encephalopathy, polymorphous variants of genes, intellectual data analysis, pattern recognition.
Received 30.05.2011, Published 22.06.2011
Document Type: Article
UDC: 519.24+004.931+616.831
Language: Russian
Citation: A. V. Kuznetsova, I. V. Kostomarova, N. N. Vodolagina, N. A. Malygina, O. V. Senko, “Study of effects of clinical and genetic factors on severity of discirculatory encephalopathy with the help of pattern recognition methods”, Mat. Biolog. Bioinform., 6:1 (2011), 115–146
Citation in format AMSBIB
\Bibitem{KuzKosVod11}
\by A.~V.~Kuznetsova, I.~V.~Kostomarova, N.~N.~Vodolagina, N.~A.~Malygina, O.~V.~Senko
\paper Study of effects of clinical and genetic factors on severity of discirculatory encephalopathy with the help of pattern recognition methods
\jour Mat. Biolog. Bioinform.
\yr 2011
\vol 6
\issue 1
\pages 115--146
\mathnet{http://mi.mathnet.ru/mbb71}
Linking options:
  • https://www.mathnet.ru/eng/mbb71
  • https://www.mathnet.ru/eng/mbb/v6/i1/p115
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024