Function reference
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annotateGeneName()
- annotate the reName4formatDat with gene info
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area()
- Calculate the area under a time-series curve
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dat4GRAPPLE()
- prepare data for implementing MR-GRAPPLE
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dat4UKBNealeLab()
- data processing for UKB-Neale Labs GWAS summary statistics
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datMerge()
- merge the data set based on SNP
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getAnnotatedSNPs()
- Get annotated SNPs info
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getLDmatrix()
- Get LDmatrix for given SNPs concerning 1KG reference
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getPaths()
- get system-specific paths
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hello()
- Hello, World!
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loadSPSS()
- Import data files with SPSS format
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plt.region()
- plot the regional association plot for exp- and out-GWAS
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plt.stack.region()
- plot the regional association plot for exp-, eQTL- and out-GWAS
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readdeCODEProteomicsGRCh38()
- read summary statistics from deCODE using Olink Explore 1536 Panel
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readHarmonizedGWASCatalogGRCh37()
- read harmonized summary statistics from GWAS Catalog
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readHarmonizedGWASCatalogGRCh37Txt()
- read harmonized summary statistics in .txt format from GWAS Catalog
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rmName4formatDat()
- rename TwoSampleMR::format_data() with snps selection at
pval
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runCisMR()
- run drug target (cis-) MR analyses with annotated data
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runDebiasedMR()
- run de-biased MR using TwoSampleMR pkg
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runGeneMendelianRandomization()
- run Gene-based MR analyses with correlated IVs
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runGRAPPLE()
- run three-sample MR using MR-GRAPPLE
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runMendelianRandomization()
- run MR using MendelianRandomization
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runMRClust()
- run MR-Clust analysis
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runMRClustBest()
- run MR analyses based on MR-Clust
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runMRIVW()
- run MR-IVW using TwoSampleMR pkg
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runMRRAPS()
- run MR-RAPS using TwoSampleMR pkg
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runSuSiERMR()
- run MR analysis based on SuSiER
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run_clump()
- run ld clump locally
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run_SuSiE()
- Implement the fine-mapping analysis using SuSiE method