Evaluation of high-throughput functional categorization of human disease genes

BMC Bioinformatics

Table 4 Correlations of 14 clusters generated by the GO clustering method and Valle's categories of Human Disease Genes

		GO-Clusters (Information Theoretic Distance)
	Valle's Protein Function Categories	1	2	3	4	5	6	7	8	9	10	11	12	13	14	Total Genes in Valle's Category
1	Unknown	3	4	2	8	4	2	1		1	8	2		2	2	39
2	Enzyme	4	10		4	5	2	2	48	55	7	48	1	40	6	232
3	Transcription factor	1	7	45	23		2			1						79
4	Receptor	7	11	2	1		58	1				6				86
5	Hormone		11				1	2								14
6	Channel	28				4										32
7	Trans-membrane Transporter	19				15				1						35
8	EC Transport	1	1			3				1		1			3	10
9	Modulator of protein function	5	16	4	17	8	6	3		8	17	7		2	12	105
10	Other	4	2		5	5	3				3	1		1	3	27
11	Extracellular matrix component	8	5	1		2	2	17			2		14		3	54
12	Intracellular matrix component	3	1			1	2				23		19		1	50
13	Immunoglobulin		1								2				1	4
14	Cell Signaling		12	2	1		1	1		1			1		1	20

Mapping of 14 clusters to 14 of Valle's classifications of HDGs. Numbers in the table denote the count of HDGs in each category. By design, multiple clusters could map to a protein function category, but each cluster could not be mapped to more than one category. The bold underlined numbers represent the true positive HDG and the selected Valle Category chosen for each GO Cluster. Other numbers in the cluster are considered as false positive in the evaluation. Valle's categories "unknown" and "others" were not evaluated because of their ambiguity.

ISSN: 1471-2105