Module 50

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:	13 (see 1962 additional genes for this module)
Num experiments:	80 (32 induced, 48 repressed)
Parent module:	91
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.
proteasome endopeptidase activity
proteasome core complex (sensu Eukarya)

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
Hematologic cancer and cell line (Stimulated immune*)	Stimulated immune*	1.5e-09	12	25	48	53	1945
Hematologic samples and cell lines (Stimulated immune*)	Stimulated immune*	1.5e-09	12	25	48	53	1945
Macrophages (Stimulated immune*)	Stimulated immune*	1.5e-09	12	25	48	53	1945
Monocytes (Stimulated immune*)	Stimulated immune*	1.5e-09	12	25	48	53	1945
Atypical teratoid/rhabdoid tumour - CNS and other origin (Neuro tumors)	Neuro tumors	8.6e-06	6	75	8	10	90
Cancer and cell line (Neuro tumors*)	Neuro tumors*	4.6e-05	8	25	32	86	1945
Cancer (Neuro tumors*)	Neuro tumors*	4.6e-05	8	25	32	86	1945
CNS cancer or cell line (Neuro tumors*)	Neuro tumors*	0.0001	9	18.7	48	81	1945
CNS tumor (Neuro tumors*)	Neuro tumors*	0.0001	9	18.7	48	81	1945
Prostate (Prostate cancer*)	Prostate cancer*	0.0001	10	20.8	48	101	1945
Renal cancer or cell line (Neuro tumors)	Neuro tumors	0.0001	4	50	8	5	90
Renal tissue (Neuro tumors)	Neuro tumors	0.0001	4	50	8	5	90
CNS tissue, cancer or cell line (Neuro tumors*)	Neuro tumors*	0.0001	9	18.7	48	85	1945
Hematologic cancer and cell line (Stimulated immune*)	Stimulated immune*	0.0001	6	18.7	32	53	1945
Hematologic samples and cell lines (Stimulated immune*)	Stimulated immune*	0.0001	6	18.7	32	53	1945
Macrophages (Stimulated immune*)	Stimulated immune*	0.0001	6	18.7	32	53	1945
Monocytes (Stimulated immune*)	Stimulated immune*	0.0001	6	18.7	32	53	1945
Cancer and cell line (Neuro tumors*)	Neuro tumors*	0.0001	9	18.7	48	86	1945
Cancer (Neuro tumors*)	Neuro tumors*	0.0001	9	18.7	48	86	1945
Cancer and cell line (Various tumors*)	Various tumors*	0.0001	8	25	32	105	1945
Cancer (Various tumors*)	Various tumors*	0.0001	8	25	32	105	1945

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
proteasome endopeptidase activity	2.3e-37	13	100	13	14	4566
proteasome core complex (sensu Eukarya)	1.7e-36	13	100	13	15	4566
proteasome complex (sensu Eukarya)	3.4e-33	13	100	13	21	4566
26S proteasome	6.3e-31	13	100	13	28	4566
ubiquitin-dependent protein catabolism	5.8e-30	13	100	13	32	4566
serine-type peptidase activity	5.3e-24	13	100	13	80	4566
endopeptidase activity	1.0e-22	13	100	13	99	4566
endoplasmic reticulum	3.3e-20	13	100	13	151	4566
peptidase activity	9.2e-19	13	100	13	193	4566
ribosome	9.9e-19	13	100	13	194	4566
protein modification	8.6e-17	13	100	13	271	4566
ribonucleoprotein complex	1.5e-16	13	100	13	283	4566
hydrolase activity	1.0e-10	13	100	13	783	4566
nucleus	1.5e-09	13	100	13	966	4566
obsolete	2.1e-09	13	100	13	990	4566
catalytic activity	2.1e-06	13	100	13	1677	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.

>4x