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All functions

XqtlExperiment-class
extend RangedSummarizedExperiment to include genotype calls in a GRanges
XqtlExperiment()
XqtlExperiment constructor
add_scores()
internal function to combine new xQTL test results with existing XqtlExperiment instance
bind_Zs()
compute Z-statistics for xQTL association and bind them to the input x-ome+genome XqtlExperiment
countGenotypes()
Count genotypes across samples for each variant
countGenotypesVectorized()
More efficient vectorized version for large datasets
demo_vcf()
provide path to a demonstration VCF file
example_tensorQTL()
produce arrow dataset with tensorQTL cis example output
fastLmMany_R()
Fit multiple linear models with common design matrix
filterCalls()
filter the call component of an XqtlExperiment
filterVcfByGenotypeCounts()
Filter VCF to variants with minimum counts in each genotype group
filterVcfMultipleCriteria()
Filter VCF with multiple criteria
getCalls()
getter for genotype calls
getGenotypeSummary()
Get genotype summary statistics
get_tensor_example_path()
operate with BiocFileCache to retrieve zip file of tensorQTL output
geuv19
a RangedSummarizedExperiment with data from GeuvadisTranscriptExpr
geuv19_samples
data frame with sample information for geuv19
geuv19xse
a RangedSummarizedExperiment with data from GeuvadisTranscriptExpr, in XqtlExperiment format
maf()
compute putative minor allele frequency for XqtlExperiment
mageSE_19
SummarizedExperiment from MAGE
minorAlleleCounts()
produce data.frame with minor allele counts in a region, from VCF
show(<XqtlExperiment>)
present concise view of XqtlExperiment
tens445
SummarizedExperiment with example data from tensorQTL, with 445 individuals from the GEUVADIS project
tiles38
a GRanges tiling GRCh38
viz_stats()
produce a plotly display of statistics of xQTL association
zs4manyYs()
use procedure tailored to multiple responses for a fixed design matrix