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EN
For determination of the relationships among significant gene markers, statistical analysis and association rule mining are considered as very useful protocols. The first protocol identifies the significant differentially expressed/methylated gene markers, whereas the second one produces the interesting relationships among them across different types of samples or conditions. In this article, statistical tests and association rule mining based approaches have been used on gene expression and DNA methylation datasets for the prediction of different classes of samples (viz., Uterine Leiomyoma/class-formersmoker and uterine myometrium/class-neversmoker). A novel rule-based classifier is proposed for this purpose. Depending on sixteen different rule-interestingness measures, we have utilized a Genetic Algorithm based rank aggregation technique on the association rules which are generated from the training set of data by Apriori association rule mining algorithm. After determining the ranks of the rules, we have conducted a majority voting technique on each test point to estimate its class-label through weighted-sum method. We have run this classifier on the combined dataset using 4-fold cross-validations, and thereafter a comparative performance analysis has been made with other popular rulebased classifiers. Finally, the status of some important gene markers has been identified through the frequency analysis in the evolved rules for the two class-labels individually to formulate the interesting associations among them.
3
Content available remote Wybrane procesy z udziałem metanu jako czynnika metylującego
PL
Dokonano przeglądu wybranych procesów metylowania z udziałem metanu jako czynnika metylującego.
EN
A review with 41 refs. covering oxidative coupling of CH4, oxidative methylation of toluene to ethylbenzene and styrene, and oxidative methylation of acetonitrile to acrylonitrile.
EN
The influence of iron oxide supported on zinc aluminate on catalytic activity and physicochemical properties of the samples was investigated. Zinc aluminate was prepared by coprecipitation followed by hydrothermal treatment at elevated temperatures and iron as Fe(NO3)3 was supported on ZnAl2O4 by wet impregnation method. The obtained samples were characterized by X-ray diffraction, textural measurements (SBET, Vp, pore size distribution), and temperature programmed reduction (TPR-H2). Activities and selectivities obtained in the catalytic alkylation of phenol and anisole with methanol, performed in the presence of ZnAl2O4 and 8%Fe2O3/ZnAl2O4, were studied and compared. Experimental data show that the addition of Fe2O3 into ZnAl2O4 does improve the selectivity of alkylation. As a result of phenol methylation there were obtained its ort/zo-derivatives (ortho-creso\ and 2,6-xylenol) over ZnAl2O4 and 8%Fe2O3/ZnAl2O4 with selectivities 54.9 and 61.5%, respectively. The application of anisole as raw material in studied reaction of methylation led to obtain of 2,3,5-trimethylphenol with 76.5% selectivity at 342°C K in the presence of 8%Fe2O3/ZnAl2O4.
EN
Five new 3-alkyl-5-benzylidene- and five new 3-alkyl-5-cinnamylidene-2-selenorhodanines were obtained by treatment of methylation products of appropriate rhodanines with H2Se. The stability of 2-thiazolinium salts with SCH3 or RNCH3 group formed during methylation is determined by substituents at C-5 and N-3 atoms.
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