All functions

DEGAS_seurat

DeGAs seurat object

MHC_genes

MHC genes

adjust_zstat()

Adjust GWAS Z-statistic

adjust_zstat_magma()

Adjust GWAS Z-statistic: MAGMA

adjust_zstat_txdb()

Adjust GWAS Z-statistic: txdb

aggregate_sumstats()

Aggregate summary statistics

assign_cores()

Assign cores

create_DT()

Create an interactive data table with download buttons

create_DimReducObject()

Create a DimReducObject from DeGAs

ctd_BlueLake2018_FrontalCortexOnly

CellTypeDataset: ctd_BlueLake2018_FrontalCortexOnly

extract_embeddings()

Extract embeddings

extract_loadings()

Extract loadings

generate_metadata()

Generate metadata

get_cs2g_gwascatalog()

Import precomputed cS2G results

get_cs2g_ukb()

Import precomputed cS2G results

get_mhc_genes()

Get MHC genes

get_phenotype_markers()

Identify marker features for each phenotype

get_top_factors()

Get the top factors

get_top_features()

Plot the top feature loadings

get_top_phenotypes() get_top_phenotypes()

Plot the top phenotypes

gwas_matrix_magma()

Construct gene x trait matrix from MAGMA results

hello()

Hello, World!

import_abc()

Import ABC model predictions

iterate_gsea()

Iterate gene set enrichment analysis across all traits and celltypes

iterate_lm()

Iterate linear regression across all traits and celltypes

map_snps2genes()

Map SNPs to genes

map_snps2genes_abc()

Map SNPs to genes: ABC

map_snps2genes_cs2g()

Map SNPs to genes: cS2G

map_snps2genes_txdb()

Map SNPs to genes: txdb

plot_reduction()

Plot reduction

plot_variancePartition()

Plot variancePartition

reconstruct_matrix()

Reconstruct original matrix from DeGAs components

regress_gene_info()

Regress out the effect of gene attributes

run_gprofiler()

Run gprofiler

run_mofa2()

Run MOFA2

run_pca()

Run PCA

run_sparsesvd()

Run sparse SVD

run_umap()

Run UMAP

run_variancePartition()

Run variancePartition