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Table 1 Statistics for DOT, DISC, and m2801 dataset

From: Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator

Dataset Size # of pos/neg examples # of ontology terms
DOT 6,510 ×100 309,593/341,407 42,964 (GO)/32,488 (BRITE)/140 (DOT)
DISC 1,207 ×72 65,537/21,367 42,964 (GO)/32,488 (BRITE)/9,255 (DAO)
m2801 12,225 ×26 124,032/193,818 42,964 (GO)/18,786 (EFO)
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