Over the last decade, high-throughput genotyping and sequencing technologies have contributed to major advancements in genetics research, as these technologies now facilitate affordable mapping of the ...
Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...
A tricky aspect in the use of all multivariate analysis methods is the choice of the number of Latent Variables to use in the model, whether in the case of exploratory methods such as Principal ...
Abstract: This chapter contains sections titled: 5.1 Multivariate Data, 5.2 Parameter Estimation, 5.3 Estimation of Missing Values, 5.4 Multivariate Normal Distribution, 5.5 Multivariate ...
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1 Department of Statistics, University of Barcelona, Barcelona, Spain. 2 Statistical Service, Sant Joan de Deu Research Foundation, Barcelona, Spain. There are several methods for visualizing the rows ...