Gene prioritization and clustering by multi-view text mining

BMC Bioinformatics

Table 2 The number of overlapping terms in different vocabularies and indexed terms

		eVOC	GO	KO	LDDB	MeSH	MPO	OMIM	SNOMED	Uniprot
		1659	37069	1514	935	29709	9232	5021	311839	1618
eVOC	1286	-	370	16	118	827	566	325	876	46
GO	7403	358	-	404	74	3380	1234	659	4772	325
KO	554	16	344	-	1	383	72	120	489	44
LDDB	890	118	74	1	-	346	275	205	498	16
MeSH	15569	784	2875	344	343	-	2118	1683	12483	373
MPO	3446	554	1177	72	271	2007	-	823	2729	146
OMIM	3402	322	655	119	205	1644	816	-	2275	161
SNOMED	27381	814	3144	380	492	8900	2508	2170	-	593
Uniprot	520	46	301	42	16	361	146	157	371	-

The upper triangle matrix shows the numbers of overlapping terms among vocabularies independent from indexing. The lower triangle matrix shows the numbers of overlapping indexed terms. The second horizontal row (from the top) are the numbers of the terms in vocabularies independent from indexing. The second vertical column (from the left) are the numbers of the indexed terms.

ISSN: 1471-2105