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Table 1 Results of CIA of different subsets of gene expression datasets

From: Cross-platform comparison and visualisation of gene expression data using co-inertia analysis

Number of genes in each dataset Matchminer results Results of Coinertia Analysis on two datasets
Ross-cDNA* Staunton-Affymetrix** Number of "matched" genes ± RV coefficient % Inertia Correlation of ordinations
     F1 F2 F1 F2
5643 3144 1416 0.85 40 61 0.96 0.97
  2455 1169 0.86 40 61 0.96 0.97
  1517 776 0.88 42 63 0.96 0.98
3748 3144 786 0.86 30 49 0.96 0.97
  2455 625 0.87 31 50 0.97 0.97
  1517 388 0.86 32 51 0.97 0.97
1415 3144 - 0.83 38 62 0.95 0.96
  2455 - 0.85 38 62 0.95 0.97
  1517 - 0.86 40 64 0.95 0.97
1375 3144 433 0.83 38 62 0.95 0.96
  2455 370 0.84 37 62 0.95 0.97
  1517 269 0.86 40 64 0.95 0.97
  1. Gene expression data subsets from *spotted cDNA [16] and **Affymetrix [15] were subjected to CIA, where COA was performed on the Affymetrix dataset, and row weighted COA on spotted cDNA array dataset. Results of the co-inertia analysis show the RV co-efficient, accumulated inertia (% of total sum of eigenvalues of co-inertia analysis), and correlation between the coordinates on first pair (F1) and second pair (F2) of axes. ± Probes (sequence spots on each array) were matched using MatchMiner [22]. The 1415 cDNA subset contained the 1375 cDNA geneset and 40 extra genes for which no image identifier was given, thus matchminer counts for these 40 extra genes could not be determined, but the number of probes matched should be similar to the 1375 cDNA gene set results.