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Table 2 Results of the KDVS for Parkinson disease study I & II

From: Knowledge Driven Variable Selection (KDVS) – a new approach to enrichment analysis of gene signatures obtained from high–throughput data

Kind Enrichment KDVS
Lists PDvsN I PDvsN II PDvsN I PDvsN II
Discr. GO terms 77 65 364 150
Discr. Genes 77 66 5705 4286
Comm. GO Terms 31 31 113 54
Comm. Genes 9 3 274 196
Benchmark Cov. GO Terms 2% 1% 25% 12%
Benchmark Cov. Genes 2% 1% 62% 44%
  1. In the first two rows, the table shows the discriminant gene and GO term lists identified by enrichment–based approach and KDVS for Parkinson study I and II, respectively. Both studies were performed on two different microarray datasets of Parkinson (PD) and Normal (N) tissue samples. Discr. means discriminant.
  2. In the next two rows, the table shows the gene and GO term lists obtained as an intersection between respective discriminant lists and benchmark lists, built for Parkinson’s disease. Comm. means common.
  3. In the last two rows, the table shows the coverage of benchmark gene and GO term lists with respective discriminant lists. For KDVS, the coverage was calculated only for benchmark MF terms, according to the nature of classification task. Benchmark gene list consists of 444 elements. Benchmark GO term list consists of 2121 terms in total, including 446 MF terms. Bench. cov. means benchmark coverage.