Module 327

General Properties
Below we list the number of gene sets from which the module was composed was originally composed, and the number of genes and experiments that it contains. Clicking on the number of genes will display a detailed list of all the genes in the module. Clicking on the number of experiments will display a detailed list of all the experiments in the module.
Num gene sets:	2
Num genes:	21 (see 1527 additional genes for this module)
Num experiments:	113 (41 induced, 72 repressed)
Parent module:	462
Children modules:	None

Gene sets
Below we list the gene sets from which the module was originally composed. Clicking on a gene set will display all the genes associated with that gene set. Also listed are all the other modules in which the gene set participates.
organic acid biosynthesis
carboxylic acid biosynthesis

Enriched clinical annotations
For each of the clinical annotations, we tested whether it was enriched in the set of arrays in which the module is significantly induced (or repressed). Below we list all such annotations that were enriched in this module with an FDR corrected p-value of 0.05 ('P-value' column), along with the number ('Hits' column) of induced (or repressed) module's arrays in which they appear. We also show the fraction of the module's induced (or repressed) arrays with the given annotation ('Hits (%)' column). For completeness, we also list the total number of relevant induced arrays in the module ('Module hits in category' column), total number of arrays in the compendium in which the corresponding annotation is present ('Arrays in annotation' column), and the total number of relevant arrays in the compendium ('Arrays' column). Note that the 'relevant' arrays may be different for each annotation, since it includes only arrays in which the annotation was relevant (i.e., present or not present) and excludes arrays where the value of the annotation was not known. Rows that correspond to annotations that were enriched in the induced arrays of the module have a red background, while rows corresponding to annotations enriched in the repressed arrays have a green background. For each annotation, we also list the other modules in which it was enriched.
Clinical annotation	Category	P-value	Hits	Hits(%)	Module hits in category	Arrays in annotation	Arrays
Cancer and cell line (Lung cancer*)	Lung cancer*	5.4e-14	35	48.6	72	252	1945
Cancer (Lung cancer*)	Lung cancer*	5.4e-14	35	48.6	72	252	1945
Lung cancer (Lung cancer*)	Lung cancer*	4.6e-13	33	45.8	72	238	1945
Lung cancer or cell line (Lung cancer*)	Lung cancer*	4.6e-13	33	45.8	72	238	1945
Lung tissue, cancer or cell line (Lung cancer*)	Lung cancer*	9.7e-13	35	48.6	72	276	1945
Liver tissue (Liver cancer*)	Liver cancer*	7.2e-12	21	51.2	41	187	1945
Liver cancer cell line (Liver cancer)	Liver cancer	2.0e-11	10	45.4	22	10	207
Liver tissue, cancer or cell line (Liver cancer*)	Liver cancer*	2.0e-11	21	51.2	41	197	1945
Cell line (Liver cancer)	Liver cancer	2.1e-10	10	45.4	22	11	207
Metastasis (Liver cancer)	Liver cancer	1.7e-07	8	36.3	22	10	207
Cancer and cell line (Liver cancer)	Liver cancer	8.1e-06	22	100	22	126	207
Hepatitis infected liver (Liver cancer*)	Liver cancer*	8.4e-06	13	31.7	41	156	1945
Lung carcinoid (Lung cancer)	Lung cancer	2.2e-05	10	28.5	35	20	276
Small cell lung cancer (Lung cancer)	Lung cancer	2.7e-05	7	20	35	10	276

Enriched GO annotations
For each GO annotation, we tested whether it was enriched in the set of genes of the module. Below we list all such annotations that were enriched in this module with an FDR corrected p-value of 0.05 ('P-value' column), along with the number ('Hits' column) of the module's genes in which they appear. We also show the fraction of the module's genes with the given GO annotation that are included in this module ('Hits (%)' column). For completeness, we also list the total number of genes in the module ('Module genes' column), total number of genes in the compendium in which the corresponding annotation is present ('Genes in annotation' column), and the total number of genes in the compendium ('Genes' column).
GO annotation	P-value	Hits	Hits(%)	Module genes	Genes in annotation	Genes
carboxylic acid biosynthesis	7.0e-49	21	100	21	34	4566
organic acid biosynthesis	1.9e-45	20	95.2	21	33	4566
carboxylic acid metabolism	2.0e-30	20	95.2	21	138	4566
organic acid metabolism	2.3e-30	20	95.2	21	139	4566
eicosanoid metabolism	8.6e-26	12	57.1	21	19	4566
fatty acid biosynthesis	8.8e-24	12	57.1	21	25	4566
eicosanoid biosynthesis	2.4e-23	11	52.3	21	18	4566
lipid biosynthesis	3.0e-21	12	57.1	21	37	4566
fatty acid metabolism	1.1e-18	12	57.1	21	57	4566
leukotriene biosynthesis	1.2e-13	6	28.5	21	8	4566
prostanoid biosynthesis	6.8e-11	5	23.8	21	8	4566
oxidoreductase activity	1.2e-10	12	57.1	21	254	4566
electron transporter activity	2.5e-10	12	57.1	21	269	4566
steroid biosynthesis	1.8e-08	5	23.8	21	20	4566
photosynthesis\, light reaction	1.9e-08	8	38.0	21	115	4566
electron transport	4.5e-08	8	38.0	21	128	4566
photosynthesis	2.9e-07	8	38.0	21	162	4566
energy pathways	1.4e-06	8	38.0	21	200	4566
oxidoreductase activity\, acting on CH-OH group of donors	3.0e-06	5	23.8	21	53	4566
oxidoreductase activity\, acting on the CH-OH group of donors\, NAD or NADP as acceptor	3.0e-06	5	23.8	21	53	4566
steroid dehydrogenase activity	6.9e-06	3	14.2	21	9	4566
intramolecular isomerase activity	1.3e-05	3	14.2	21	11	4566
iron ion binding	2.3e-05	3	14.2	21	13	4566
lipid metabolism	3.1e-05	6	28.5	21	143	4566
catalytic activity	4.2e-05	17	80.9	21	1677	4566
oxidoreductase activity\, acting on single donors with incorporation of molecular oxygen	4.5e-05	3	14.2	21	16	4566

Visual display

Below is a visual display of the module. Shown are those arrays in which the module's genes significantly change, and the direction of change (induction/repression) in each array is indicated (middle, labeled 'Module changes'; red/green row). The arrays that correspond to the significant clinical attributes are also shown (top; brown rows). The gene sets that compose the module are also shown (left) along with an indication of the membership of the module genes in these gene sets.

You can also view the images within GeneXPress by loading the module gxp file file.

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