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Gregor Mendel's Genetic Experiments: A Statistical Analysis after 150 Years
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SYSNO ASEP 0468317 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Ostatní články Název Gregor Mendel's Genetic Experiments: A Statistical Analysis after 150 Years Tvůrce(i) Kalina, Jan (UIVT-O) RID, SAI, ORCID Zdroj.dok. European Journal for Biomedical Informatics. - : Pulsus Group - ISSN 1801-5603
Roč. 12, č. 2 (2016), s. 20-26Poč.str. 7 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova genetics ; history of science ; biostatistics ; design of experiments Vědní obor RIV BB - Aplikovaná statistika, operační výzkum Institucionální podpora UIVT-O - RVO:67985807 DOI 10.24105/ejbi.2016.12.2.4 Anotace Gregor Mendel is generally acknowledged not only as the founder of genetics but also as the author of the first mathematical result in biology. Although his education had been questioned for a long time, he was profoundly educated in botany as well as physics and in those parts of mathematics (combinatorics, probability theory) applied in his later pea plants experiments. Nevertheless, there remain debates in statistical literature about the reasons why are Mendel's results in such a too good accordance with expected values. The main aim of this paper is to propose new two-stage statistical models, which are in a better accordance with Mendel's data than a classical model, where the latter considers a fixed sample size. If Mendel realized his experiments following such two-stage algorithm, which cannot be however proven, the results would purify Mendel's legacy and remove the suspicions that he modified the results. Mendel's experiments are described from a statistical point of view and his data are shown to be close to randomly generated data from the novel models. Such model is found as the most suitable, which is remarkably simpler according to the model of Pires and Branco (2010), while the new model yields only slightly weaker results. The paper also discusses Mendel's legacy from the point of view of biostatistics. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2017
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