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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes

Fig. 1

Overview of the PheLEx framework. a Underlying graphical model for the PheLEx method shows input: genotypes matrix X, observed phenotype Y, genetic relatedness matrix A, and architecture of model parameters used to infer misclassification probabilities in observed phenotype. b Overview of steps used to extract misclassification probabilities and produce corrected phenotypes for reanalysis using GWAS with the method PheLEx implemented in R package “phelex”. For detailed explanation, please refer to the main text

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BMC Bioinformatics

ISSN: 1471-2105

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