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All functions

adjust_zstat_in_genesOut()
Adjust MAGMA Z-statistic from .genes.out files
calculate_celltype_associations()
Calculate celltype associations using MAGMA
calculate_celltype_enrichment_limma()
Calculate celltype enrichment
calculate_conditional_celltype_associations()
Calculate conditional celltype associations using MAGMA
calculate_conditional_celltype_enrichment_limma()
Calculate celltype enrichments without MAGMA
calculate_conditional_geneset_enrichment()
Use MAGMA to test enrichment in a geneset
calculate_geneset_enrichment()
Use MAGMA to test enrichment in a geneset
celltype_associations_pipeline()
Calculate cell type associations using MAGMA
compare_trait_enrichments()
Test to see which cell types are more enriched in magmaPath2 than magmaPath1
create_DT()
Create data table
drop_genes_within_mhc()
Drop genes within MHC
enrichment_results
Example celltype enrichment results
format_sumstats_for_magma()
Format GWAS summary statistics
get_ctd()
Import precomputed CellTypeDatasets
get_driver_genes()
Get genes driving significant MAGMA_celltyping results
get_example_gwas()
Import GWAS summary statistics
get_genome_ref()
Download genome ref
get_genomebuild_for_sumstats()
Get genome build for sumstats
get_magma_paths()
Get MAGMA Paths
gwas_munged
Munged GWAS
hgnc2entrez_orthogene
HGNC to Entrez symbol mapping
import_magma_files()
Import preprocessed MAGMA files
infer_ctd_species()
Infer CellTypeDataset species
infer_geneset_species()
Infer gene set species
list_snps_to_genes_files()
List SNPs-to-genes mapping files
load_magma_results_file()
Load a MAGMA .gcov.out file
magma_files_metadata
MAGMA_Files_Public: metadata
magma_install()
Install the MAGMA command line tool
magma_links_stored
Stored links to MAGMA executables
magma_run()
Run MAGMA
magma_tileplot()
MAGMA tile plot
magma_uninstall()
Uninstall MAGMA
map_snps_to_genes()
Map SNPs to their nearby genes
merge_magma_results()
Merge MAGMA results
merge_results()
Gather enrichment results
plot_celltype_associations()
Plot celltype associations calculated using MAGMA
prepare_quantile_groups()
Prepare quantile groups for each celltype based on specificity
rbfox_binding
Rbfox binding genes in MGI format
results_barplot()
Plot barplot of enrichment results - plotting -log10 (p-value) but cut-off significance is based on FDR where if either linear or top10 FDR threshold the result will be plotted
results_heatmap()
Plot heatmap of enrichment results
standardise.sumstats.column.headers()
Standardise the column headers in the Summary Statistics files