A MIGSA results object obtained using the datasets:
mainz (microarray).
nki (microarray).
tcga (microarray).
tcga (RNAseq).
transbig (microarray).
unt (microarray).
upp (microarray).
vdx (microarray).
A list with two main components to create the MIGSAres object
Each dataset subjects were classified using the PAM50 algorithm. For this analysis only Basal and Luminal A subjects were kept (this was the contrast used, i.e., Basal vs. LumA).
Datasets were tested for gene set enrichment over:
the org.Hs.eg.db Gene Ontology gene sets, resulting in 14,291 as BP, 1,692 CC and 4,263 MF.
KEGG gene sets downloaded from enrichr database resulting in 179 gene sets.
In order to get the MIGSAres object follow: library(MIGSAdata); library(MIGSA); data(bcMigsaResAsList); bcMigsaRes <- MIGSA:::MIGSAres.data.table(bcMigsaResAsList$dframe, bcMigsaResAsList$genesRank);
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