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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.