A Non Parametric Data Transformation Technique for Quantitative Genetic Analyses: the Rank Transformation
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Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Amer Inst Physics
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The aim of this study was to determine the effects of rank transformation on estimations of genetic parameters for non-normally distributed four simulated variables. X-1, X-2, X-3, X-4 have means and variances of 10, and the variables originated from Laplace distribution, Poisson distribution, Uniform distribution, Weibull distribution, respectively. After rank transformation, these values are 0 and 1 for each variable, respectively. Except the Poisson distribution all variables has been transformed into Gaussian distribution by rank transformation. It was determined that genetic information loss did not occur in any of the variables with normally distributed by rank transformation. It is possible to say that rank transformation can be used safely in quantitative genetic analyzes with regard to research results.
Açıklama
2nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017 -- Antalya, TURKEY
Anahtar Kelimeler
Multivariate analysis of variance, growth curve, biological meaningful parameters, mixed modeling, Box-Cox Transformation, Traits
Kaynak
International Conference on Advances in Natural and Applied Sciences (Icanas 2017)
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
1833
