example_pathfindR_input {pathfindR.data}

Example Input for the pathfindR Enrichment Workflow - Rheumatoid Arthritis (H.sapiens)

Description

A dataset containing the differentially-expressed genes along with the associated log₂(fold-change) values and FDR adjusted p-values for the GEO dataset GSE15573. This microarray dataset aimed to characterize gene expression profiles in the peripheral blood mononuclear cells of 18 rheumatoid arthritis (RA) patients versus 15 healthy subjects. Differentially-expressed genes with adj.P.Val < 0.05 are presented in this data frame. Generated on 1 Nov 2019.

Usage

example_pathfindR_input

Format

A data frame with 572 rows and 3 variables:

Gene.symbol

HGNC gene symbols of the differentially-expressed genes

logFC

log₂

(fold-change) values

adj.P.Val

adjusted p values, via the Benjamini & Hochberg (1995) method

Source

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE15573

See Also

example_pathfindR_output for the RA example pathfindR enrichment output example_pathfindR_output_clustered for the RA example pathfindR clustering output example_experiment_matrix for the RA differentially-expressed genes expression matrix run_pathfindR for details on the pathfindR enrichment analysis