Joint Analysis of Genotype and Group-Specific Variability Using a Novel Score Test Approach to Map eQTL

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Documentation for package ‘JAGUAR’ version 2.0

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JAGUAR-package Joint analysis of genotype and group-specific variability using a novel score test to map eQTL
calcThreshold Calculates various threshold values to control for the family-wise error rate (FWER).
example.data An example gene expression and genotype data
gamma_test An internal C++ function
GENEapply An internal C++ function
getMinP An internal C++ function
jaguar Runs the joint score test statistic approach
jaguarSIM Run null or power simulations
jag_param An internal C++ function
lin Efficient Monte Carlo approach to adjust for multiplicity
plotqtl Plot of eQTL results
ProcessJaguarResults Obtain significant gene-SNP pairs based on a predetermined threshold value
RowMin An internal C++ function
RowSums An internal C++ function
scoreTest An internal C++ function
SliceGeneData Slice gene expression data into multiple partitions
snpOUT An internal C++ function