Although more manual statistical methods (e.g., examining biaxial plots) can also be used, multivariate methods take into account the entire data set.
Connectome-wide genome-wide scans have also been conducted, and we review the multivariate methods required to handle the extremely high dimension of the genomic and network data.
Multivariate methods are potentially more powerful than univariate approaches, but their output can also be more difficult to definitively interpret.
Frequency-based and multivariate methods showed greater epigenetic than genetic differentiation between L. racemosa natural populations, as can also be visualized on PCAs (Figure 2).
Other multivariate methods such as linear discriminant analysis (LDA) [18] or sparse logistic regression (SLR) [16] are also capable of serving as multivariate ranking methods as the SVM.
The identified SNPs by GMDR methods also have significant p-values from these analyses: 6.51E-07 for SBPB, 4.21E-05 for DBPB, and 3.26E-05 for multivariate phenotypes.
OLC variables are also converted to dichotomous variables for better reliability in the moderation tests (Ping Jr [96 98]. This study employs multivariate methods to test the hypotheses.
Despite the fact that different multivariate methods have been proposed for GWAS of more than one phenotype, few studies in model species have been conducted using multivariate techniques7,8.
Outcome models were developed with multivariate methods.
