alzheimersMultiOmics_df: Real Multi-Omics Data Results for AD

In TransBioInfoLab/pathwayMultiomics: Implementinig the MiniMax Statistic for Multi-Omics Pathway Analysis

Description

Real multi-omics data results for Alzheimer's disease using SNP, DNA methylation, and gene expression data from the ROSMAP study

Usage

alzheimersMultiOmics_df

Format

A tibble (a modern data frame created by the tibble package) with eight columns and 2833 rows:

• pathway the name of the pathway / gene set in C2 CP

• size the number of genes in the pathway / gene set

• snpPval the p-values for each pathway after SNP GWAS analysis

• snpFDR the false discovery rate for each SNP p-value

• dnamPval the p-values for each pathway after DNA methylation analysis with missMethyl::

• dnamFDR the false discovery rate for each DNAm p-value

• rnaseqPval the p-values for each pathway after RNAseq analysis with fgsea::

• rnaseqFDR the false discovery rate for each RNAseq p-value

Details

This data gives pathway-level statistical significance results from GSEA under Bacon correction (for SNP analysis), missMethyl (for DNA methylation analysis), and fgsea (for gene expression analysis) for 640 samples from the ROSMAP study using the Broad Institute's C2 CP collection (2833 pathways with the number of genes less than 200 or more than 4).

TransBioInfoLab/pathwayMultiomics documentation built on Dec. 18, 2021, 5:12 p.m.