Gregor Mendel's Genetic Experiments: A Statistical Analysis after 150 Years

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00468317" target="_blank" >RIV/67985807:_____/16:00468317 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Gregor Mendel's Genetic Experiments: A Statistical Analysis after 150 Years

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Gregor Mendel's Genetic Experiments: A Statistical Analysis after 150 Years

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

European Journal for Biomedical Informatics

ISSN

1801-5603

e-ISSN

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Svazek periodika

12

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

20-26

Kód UT WoS článku

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EID výsledku v databázi Scopus

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