Fig 1.
Workflow of the whole integrated meta-analysis for integration of Affymetrix/Illumina expression data from PDAC datasets.
Table 1.
Characteristics of both Cohort 1 and Cohort 2 groups of PDAC patients.
Table 2.
Coincident genes in the three analyzes: Affymetrix, Illumina and integrated meta-analysis.
Fig 2.
Comparison of individual analysis by technology with integrated analysis.
a Coincident genes in the three analyzes: Affymetrix, Illumina and integrated meta-analysis (Table 2). b Remaining differentially expressed genes in individual Illumina and the integrative meta-analysis (S1 Table). c Remaining differentially expressed genes in individual Affymetrix and the integrative meta-analysis (S2 Table). d Differentially expressed genes in the integrative meta-analysis but not in individual analysis (gained genes) (S3 Table).
Fig 3.
ROC Curves for the 5 genes commonly expressed: FAMI3, IRAK3, DENND2D, PLBD1 and AGPAT9.
Curves are provided for both Illumina and Affymetrix individual analyses as well as our integrative meta-analysis. The Area Under the Curve (AUC) metrics are also provided for each curve.
Table 3.
Sensitivity and specificity values for the selected genes after a leave-one-out cross-validation (LOOCV) process.
Table 4.
Shared Gene Ontology (GO) terms after the gene enrichment analysis applied over the 28 gained genes.
The Kolmogorov-Smirnov statistical test was performed to determine their significance (p-value < 0.05).