9783838101224 - model selection techniques for locating quantitative trait loci: modifying the bayesian information criterion for locating multiple quantitative trait loci in experimental crosses di baierl, andreas (5 risultati)

Lingua: Inglese
Editore: Südwestdeutscher Verlag für Hochschulschriften, 2015
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Model Selection Techniques for Locating Quantitative Trait Loci | Modifying the Bayesian Information Criterion for Locating Multiple Quantitative Trait Loci in Experimental Crosses | Andreas Baierl | Taschenbuch | 96 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 97838381…01224 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften Nov 2008, 2008
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent technological advances in genetics pose new challenging problems to statistical methodology. The genetic technique of QTL mapping deals with locating genes that influence a quantitative character of an organism. Within the s…tatistical framework of model selection, existing approaches are adapted and modifed: The search for genetic effects is extended to interactions between genes (i.e. epistatsis), while taking computational performance into account. Robust statistical methods are included in order to cope with quantitative effects that have heavy-tailed distribution or outliers. The performance and applicability of all methods is assessed by extensive simulation studies and the reanalysis of previously published genetic data sets. 96 pp. Deutsch.

Lingua: Inglese
Editore: Südwestdeutscher Verlag für Hochschulschriften, 2008
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent technological advances in genetics pose new challenging problems to statistical methodology. The genetic technique of QTL mapping deals with locating genes that influence a quantitative character of an organis…m. Within the statistical framework of mo.

Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften Nov 2008, 2008
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recent technological advances in genetics pose new challenging problems to statistical methodology. The genetic technique of QTL mapping deals with locating genes that influence a quantitative character of an organism. Within the stati…stical framework of model selection, existing approaches are adapted and modifed: The search for genetic effects is extended to interactions between genes (i.e. epistatsis), while taking computational performance into account. Robust statistical methods are included in order to cope with quantitative effects that have heavy-tailed distribution or outliers. The performance and applicability of all methods is assessed by extensive simulation studies and the reanalysis of previously published genetic data sets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Deutsch.

Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften, 2009
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent technological advances in genetics pose new challenging problems to statistical methodology. The genetic technique of QTL mapping deals with locating genes that influence a quantitative character of an organism. Within the statis…tical framework of model selection, existing approaches are adapted and modifed: The search for genetic effects is extended to interactions between genes (i.e. epistatsis), while taking computational performance into account. Robust statistical methods are included in order to cope with quantitative effects that have heavy-tailed distribution or outliers. The performance and applicability of all methods is assessed by extensive simulation studies and the reanalysis of previously published genetic data sets.