DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules

BMC Bioinformatics

Table 1 Annotations enriched in differentially coexpressed modules

Module	Category	Subcategory	Expected	Observed	fdr
Black	KEGG	Metabolism of xenobiotics by cytochrome P450	1.367	12	<0.001
	KEGG	Metabolic pathways	22.494	40	<0.001
	GO	Glutathione transferase activity	0.364	9	<0.001
Blue	KEGG	Lysosome	3.373	12	0.008
	KEGG	Metabolic pathways	31.541	48	0.026
	GO	Mitochondrion	35.764	67	<0.001
Brown	GO	Intracellular transport	8.481	22	0.038
Green	GO	Mitochondrion	10.234	26	0.003
Green	GO	Oxidation reduction	4.015	15	0.003
Orange	GO	Xenobiotic metabolic process	0.079	5	<0.001
Purple	No significant enrichment
Red	KEGG	Endometrial cancer	0.201	3	0.015
Yellow	KEGG	Pancreatic cancer	3.344	14	<0.001
	KEGG	Renal cell carcinoma	3.702	10	0.043
	KEGG	Pathways in cancer	14.75	27	0.022
	GO	Protein localization	33.676	64	<0.001
	GO	Melanosome	2.995	11	0.009
	GO	Cell projection	33.886	59	0.002
	GO	Small GTPase mediated signal transduction	14.342	31	0.003

Selected annotations enriched among the genes of each differentially coexpressed modules and associated false discovery rates (fdr). The over-representation analysis was conducted using GeneTrail. The complete results are available in Additional File 3.

ISSN: 1471-2105