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Application of the k-NN classifier for mutagenesis tests. Recognition of wild type and defective in DNA repair bacterial strains on the basis of adaptive response to alkylating agents

Maciejewska A. M., Jóźwik A., Kuśmierek J. T., Sokołowska B.

Biocybernetics and Biomedical Engineering

2008

Vol. 28, no. 3

45-50

The k-Nearest Neighbor classifier (k-NN) was applied to differentiate two bacterial strains, the wild type and its mug derivative. Bacterial cells were exposed to different concentrations of chloroacetaldehyde and studied under two different conditions, i.e. with and without induction of an adaptive response. We evaluated the influence of adaptation on the wt and mug strains by estimating the probability of misclassification to the class: no adaptation or adaptation. We have also checked differentiation between wt and mug, separately for adapted and non-adapted conditions. Our results confirm the usefulness of the k-NN classifier as a tool for statistical analysis of results of mutagenesis tests.

Application of k-NN classifier and Fisher-test in analysis of cells culture model

Jóźwik A., Faff L., Sokołowska B.

Journal of Medical Informatics & Technologies

2000

Vol. 1

CS 15--20

The paper deals with determination of the LPS factor influence and the significance of Na+ -contained and Na+ -free HEPES solution on a behavior of microglial cells cultured in vitro. A behavior of microglial cells is characterized by 14 parameters. The dependence between these parameters and a presence of LPS factor or natrium ions has been studied by use of the “k nearest neighbor” (k-NN) rule taken from the pattern recognition theory. The obtained computational results were verified by the Fisher test.