Russian version English version
Volume 16   Issue 1   Year 2021
Mazilina A.N.1, Senko O.V.2, Brusov O.S.3, Dokukin A.A.2, Kodryan M.S.2, Kuznetsova A.V.4, Klimenko L.L.5

Determining Subgroups of Significant Correlation in Analyzing Relation between NR2 Antibodies and Factor VIII in Acute Neurological Diseases

Mathematical Biology & Bioinformatics. 2021;16(1):29-38.

doi: 10.17537/2021.16.29.

References

  1. Kuznetsova A.V., Kostomarova I.V., Sen’ko O.V. Modification of the method of optimal valid partitioning for comparison of patterns related to the occurence of ischemic stroke in two groups of patients. Pattern Recognition and Image Analysis. 2014;24:114-123. doi: 10.1134/S105466181401009X
  2. Kodryan M.S., Kuznetsova A.V., Klimenko L.L., Mazilina A.N., Baskakov I.V., Senko O.V. Nonparametric Method for Estimation of Controlled Correlations in Studies of VEGF-Hypoxia Relationship. Int. J. Clin. Biostat. Biom. 2020;24(6). doi: 10.23937/2469-5831/1510024
  3. Senko O.V., Kodryan M.S., Kuznecova A.V., Klimenko L.L., Deev A.I., Baskakov I.S., Mazilina A.N. Optimal Partitioning Method for Evaluating of Effect of Hemoglobin Oxygenation Levels of Vessel Endothelial Growth Factor. Mathematical Biology and Bioinformatics. 2018;13(2):563-590 (in Russ.). doi: 10.17537/2018.13.563
  4. Anderson M.J., Robinson J. Permutation tests for linear models. Aust. N. Z. J. Stat. 2001;43:75-88. doi: 10.1111/1467-842X.00156
  5. Pesarin F., Salmaso L. Permutation tests for complex data: Theory, Applications and Software. New Jersey: John Wiley and Sons, Ltd, 2010. 448 p. ISBN:9780470516416. doi: 10.1002/9780470689516
  6. Weissman J.D., Khunteev G.A., Heath R., Dambinova S.A. NR2 antibodies: risk assessment of transient ischemic attack (TIA)/stroke in patients with history of isolated and multiple cerebrovascular events. J. Neurol. Sci. 2011;300(1-2):97-102. doi: 10.1016/j.jns.2010.09.023
  7. Dambinova S.A., Bettermann K., Glynn T., , Tews M., Olson D., Weissman J.D., Sowell R.L. Diagnostic potential of the NMDA receptor peptide assay for acute ischemic stroke. PLoS One. 2012;7(7). doi: 10.1371/journal.pone.0042362
  8. Dambinova S.A., Aliev K.T., Bondarenko E.V., Ponomarev G.V., Skoromec A.A., Skoromec A.P., Skoromec T.A., Smolko D.G., SHumilina M.V. The biomarkers of cerebral ischemia as a new method for the validation of the efficacy of cytoprotective therapy. S.S. Korsakov Journal of Neurology and Psychiatry. 2017; 5:62-67 (in Russ.). doi: 10.17116/jnevro20171175162-67
  9. Chih-Yu Kuo, Chun-Hsien Lin, Ya-Wen Kuo, Yen-Chu Huang, Huan-Lin Hsu, Ya-Hui Lin, Chih-Ying Wu, Ying-Chih Huang, Meng Lee, Hsin-Ta Yang, Chia-Yu Hsu, Yi-Ting Pan, Jiann-Der Lee. Factor VIII levels are associated with ischemic stroke, stroke subtypes and neurological worsening. Curr. Neurovasc. Res. 2015;1(12):85-90. doi: 10.2174/1567202612666150102153447
  10. Samai A.A., Boehme A.K., Shaban A., George A.J., Dowell L., Monlezun D.J., Leissinger C., Schluter L., El Khoury R., Martin-Schild S. A Model for Predicting Persistent Elevation of Factor VIII among Patients with Acute Ischemic Stroke. Journal of Stroke and Cerebrovascular Diseases. 2016;25(2):428-435. doi: 10.1016/j.jstrokecerebrovasdis.2015.10.015
  11. Prokhorov A.V. Partial correlation coefficient. In: Encyclopedia of Mathematics;7. Springer, 1991. ISBN: 978-1556080067.
  12. Fisher R.A. Frequency distribution of the values of the correlation coefficient in samples of an indefinitely large population. Biometrika. 1915;4(10):507-521. doi: 10.2307/2331838
  13. Duncan E., Collecutt M., Street A. Nijmegen-Bethesda assay to measure factor VIII inhibitors. Methods Mol. Biol. 2013;992:321-333. doi: 10.1007/978-1-62703-339-8_24
  14. Lassila R. Management of coagulation factor VIII (FVIII) inhibitors. Thromb. Res. 2019;181(1):S60-S61. doi: 10.1016/S0049-3848(19)30369-X
Table of Contents Original Article
Math. Biol. Bioinf.
2021;16(1):29-38
doi: 10.17537/2021.16.29
published in English

Abstract (eng.)
Abstract (rus.)
Full text (eng., pdf)
References

 

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