Skip to main content

Advertisement

Table 3 SAM-GS GSA results

From: Investigating the effect of paralogs on microarray gene-set analysis

Original dataset: unique GSA results Reduced dataset: unique GSA results
APOPTOSIS ADIP_VS_FIBRO_DN
APOPTOSIS-GENMAPP BCNU_GLIOMA_MGMT_48HRS_UP
APOPTOSIS_KEGG BRCA1_SW480_DN
CELLCYCLEPATHWAY BREAST_CANCER_ESTROGEN_SIGNALING
CHEMICALPATHWAY DAC_PANC50_UP
FSH_HUMAN_GRANULOSA_UP DNA_DAMAGE_SIGNALING
G1PATHWAY DRUG_RESISTANCE_AND_METABOLISM
HSA05219_BLADDER_CANCER G2PATHWAY
HSP27PATHWAY HSA05040_HUNTINGTONS_DISEASE
IL4PATHWAY OXSTRES_BREASTCA_UP
P53_BRCA1_UP PARP_KO_UP
RACCYCDPATHWAY PASSERINI_APOPTOSIS
SA_FAS_SIGNALING SA_DIACYLGLYCEROL_SIGNALING SHEPARD_NEG_REG_OF_CELL_PROLIFERATION
  1. SAM-GS results indicating functional gene sets (MSigDB:C2) significantly enriched in the expression patterns of NCI-60 cancer cell lines with wild-type p53, compared to those of p53 mutants. Only those terms exclusive to the results obtained from either the original or paralog-reduced list are shown. A threshold of FDR ≤ 0.001 was used to determine significance.