Module 230

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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: 3
Num genes: 13 (see 1483 additional genes for this module)
Num experiments: 140 (42 induced, 98 repressed)
Parent module: 326
Children modules: 148


Jump to: Home | General properties | Gene sets | Enriched clinical annotations | Enriched Go annotations | Visual display
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.
fatty acid biosynthesis
eicosanoid metabolism
eicosanoid biosynthesis


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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
Lung cancer (General compendium) General compendium 4.2e-55 77 78.5 98 244 1946
Lung tissue, cancer or cell line (General compendium) General compendium 1.1e-52 81 82.6 98 304 1946
Lung cancer or cell line (General compendium) General compendium 2.3e-52 77 78.5 98 262 1946
Non small cell lung cancer (General compendium) General compendium 1.1e-27 52 53.0 98 205 1946
Non small cell lung cancer and cell line (General compendium) General compendium 1.0e-25 52 53.0 98 223 1946
Cancer (General compendium) General compendium 5.0e-18 93 94.8 98 1110 1946
Cancer and cell line (General compendium) General compendium 2.1e-11 96 97.9 98 1429 1946
Lung tissue, cancer or cell line (General compendium) General compendium 2.3e-08 22 52.3 42 304 1946
Lung carcinoid (Lung cancer) Lung cancer 1.2e-07 17 20.9 81 20 276
Adenocarcinoma (General compendium) General compendium 6.6e-06 43 43.8 98 466 1946
Normal lung tissue (Lung cancer) Lung cancer 1.1e-05 8 44.4 18 22 276
Normal tissue (Lung cancer) Lung cancer 1.6e-05 8 44.4 18 23 276


Jump to: Home | General properties | Gene sets | Enriched clinical annotations | Enriched Go annotations | Visual display
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
fatty acid biosynthesis 7.7e-32 13 100 13 25 4609
eicosanoid biosynthesis 5.0e-27 11 84.6 13 18 4609
eicosanoid metabolism 1.1e-26 11 84.6 13 19 4609
organic acid biosynthesis 3.0e-23 11 84.6 13 33 4609
carboxylic acid biosynthesis 4.4e-23 11 84.6 13 34 4609
lipid biosynthesis 1.3e-22 11 84.6 13 37 4609
fatty acid metabolism 2.8e-20 11 84.6 13 57 4609
carboxylic acid metabolism 9.3e-16 11 84.6 13 139 4609
organic acid metabolism 1.0e-15 11 84.6 13 140 4609
leukotriene biosynthesis 4.1e-12 5 38.4 13 8 4609
prostanoid biosynthesis 4.1e-12 5 38.4 13 8 4609
electron transporter activity 4.1e-09 9 69.2 13 270 4609
oxidoreductase activity\, acting on single donors with incorporation of molecular oxygen 6.8e-08 4 30.7 13 16 4609
oxidoreductase activity 1.8e-06 7 53.8 13 255 4609
intramolecular isomerase activity 2.8e-06 3 23.0 13 11 4609
iron ion binding 4.9e-06 3 23.0 13 13 4609
thermoregulation 6.5e-06 5 38.4 13 106 4609
inflammatory response 7.4e-06 5 38.4 13 109 4609
photosynthesis\, light reaction 9.7e-06 5 38.4 13 115 4609
electron transport 1.6e-05 5 38.4 13 128 4609
transition metal ion binding 5.0e-05 5 38.4 13 161 4609
photosynthesis 5.1e-05 5 38.4 13 162 4609


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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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