DOI: 10.5593/SGEM2014/B61/S25.052


Mazurkin P.M.
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-20-9 / ISSN 1314-2704, June 19-25, 2014, Book 6, Vol. 1, 373-380 pp

On examples [1] the method of identification of nonlinear trends and wave regular-ities in the form of asymmetric wavelet signals of behavior of genes on grouped
(nmeth.2724-f3.xls1) and primary basic data (to nmeth.2724-f2.xls1, nmeth.2724-
f1.xls1) is shown. Unknown regularity of influence of a dependent factor of Seed on
thyA CO and WT indicators is revealed. On one example of 10-3 Mod SD =f (10-3
Expt SD) from the array1 nmeth.2724-f1.xls Growth_Data_Summary the waveletanalysis technique is shown. The method is applicable to processing of results of measurements of behavior of any objects. It proceeds from the unique algebraic equation according to Rene Descartes for describe the behavior of any objects, each member of which contains 6 to increasingly complex design "bricks" Hilbert becoming complicated on a design. Thus the left col-umn to the biotechnical law gives an asymmetric wavelet-signal, and the right column allows to identify infinitely measured (in comparison with an interval of time of meas-urements) on amplitude oscillatory adaptations.

Keywords: genes, group, primary data, wavelet analysis, new factors, wave models