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Articles by Sorana D. BOLBOACA
Total Records ( 3 ) for Sorana D. BOLBOACA
  Lorentz JANTSCHI , Sorana D. BOLBOACA and Radu SESTRAS
  Genetic algorithms, a sort of algorithms belonging to a more general category, so called meta-heuristics, know today a great expansion in terms of target applications, including biology, chemistry and medicine. They are inspired from primary observations in nature (Lamarck, 1809; Darwin, 1859; Mendel, 1865; Fisher, 1918), and started with simulation of artificial selection of organisms with multiple loci that controls a measurable trait (Fraser, 1957). Genetic algorithms evolved into complex and strong informatics tools capable to deal with hard problems of decision, classification, optimization, and simulation in fields as biology, chemistry and medicine. The aim of the present article was to introduce genetic algorithms and to present their suitability for biological hard problems. Some important results reported in the literature about the use of genetic algorithms for phylogenetic and gene sequence analysis are discussed.
  Sorana D. BOLBOACA , Lorentz JANTSCHI and Radu SESTRAS
  The aim of the research was to investigate the statistical methods used in reporting quantitative genetic models in flower, vegetable, fruit, grape, and shrub and tree studies. A systematic literature review was performed in June 2008 on Oxford Journals database. The search methodology was developed, the inclusion criteria of the titles in the study were imposed, and the variable of interest were defined. A number of four-hundred and thirty-five titles were identified by applying the search string. Thirty-five titles accomplished the inclusion criteria and were included into the study. The analysis of results revealed that almost one-third of paper did not have any keywords and the most frequent one was quantitative trait loci. More than fifty percent of the papers included into the results descriptive statistic parameters and frequencies. Less than half of the investigated papers used any method of statistical inference in analysis of the results. A comprehensive analysis is needed in order to investigate the trends of statistical methods reported by quantitative genetic studies on studied fields by inclusion into the study a wide range of available databases.
  Lorentz JANTSCHI , Sorana D. BOLBOACA , Mugur C. BALAN and Radu E. SESTRAS
  A factor effect study was conducted on a set of observations at the contingency of a series of plant species and bacteria species regarding the antibacterial activity of essential oil extracts. The study reveals a very good agreement between the observations and the hypothesis of independent and multiplicative effect of plant and bacteria species factors on the antibacterial activity. Shaping of the observable to a Negative Binomial distribution allowed the separation of two convoluted Gamma distributions in the observable further assigned to the distribution of factors. Statistics of the Gamma distribution allowed estimating the ratio between diversity of plants factors and bacteria factors in the antibacterial activity of essential oils extracts.
 
 
 
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