Discovering time-lagged rules from microarray data using gene profile classifiers

BMC Bioinformatics

Table 8 Ontological analysis for the eight largest sub-networks

	Biological Process			Molecular Function			Celullar Component			*number of genes*
	*annotation*	*percentage*	*corrected* *p-value*	*annotation*	*percentage*	*corrected* *p-value*	*annotation*	*percentage*	*corrected* *p-value*
A	translation	100%	0	structural constituent of ribosome	100%	0	ribosome	100%	0	5
B	chromatin assemby or disassembly	88.89%	0	DNA binding	88.89%	0	nucleosome	88.89%	0	9
C	cell cycle	50%	5.80E-04	DNA binding	35.71%	0.06779	nucleus	71.43%	0.04154	14
D	DNA replication	37.14%	0	DNA binding	40%	0	nucleus	71.43%	3.40E-04	35
E	ribosome biogenesis	53.74%	0	molecular function	38.79%	0.02142	nucleus	62.62%	0	214
F	cell division	75.00%	0.00247	molecular function	50.00%	0.35995	cytoplasm	50.00%	0.73076	4
G	methionine biosynthetic process	100.00%	0	transferase activity	75.00%	0.01018	cytoplasm	100.00%	0	4
H	biological process	60.00%	0.18427	nucleic acid binding	80.00%	3.00E-05	cellular component	60.00%	0.04812	5
all	ribosome biogenesis	35.51%	0	molecular function	33.24%	0.31227	nucleus	57.39%	0	352

The eight largest sub-networks, with their respective ontological enrichment, for the Biological Process, Molecular Function and Cellular Component categories. The annotation column denotes the most common annotation for the genes in the sub-network, whereas the percentage is the percentage of genes w.r.t. the number of genes in the sub-network that receives such annotation. The corrected p-value is the statistical significance of the annotation. Finally, the bolded categories and scores remark the cases where the annotation was statistically significant at an α level of 0.01.

ISSN: 1471-2105