About: Gene-set enrichment analysis

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The Gene Ontology (GO) is typically used, the input is a set of Gene IDs, and the output of the analysis is typically a ranked list of GO concepts, each associated with a p-value.

Attributes	Values
type	Class
label	Gene-set enrichment analysis
comment	The Gene Ontology (GO) is typically used, the input is a set of Gene IDs, and the output of the analysis is typically a ranked list of GO concepts, each associated with a p-value. Analyse gene expression patterns to identify sets of genes that are associated with a specific trait, condition, clinical outcome etc. "Gene set analysis" (often used interchangeably or in an overlapping sense with "gene-set enrichment analysis") refers to the functional analysis (term enrichment) of a differentially expressed set of genes, rather than all genes analysed. Gene sets can be defined beforehand by biological function, chromosome locations and so on.
seeAlso	https://en.wikipedia.org/wiki/Gene_Ontology_Term_Enrichment https://en.wikipedia.org/wiki/Gene_set_enrichment_analysis
subClassOf	Expression analysis Enrichment analysis nodeID://b663135365 nodeID://b663135366 nodeID://b663135991 nodeID://b663135992 nodeID://b663147956 nodeID://b663147957 nodeID://b663148582 nodeID://b663148583 nodeID://b663383641 nodeID://b663383642 nodeID://b663384267 nodeID://b663384268 nodeID://b663454763 nodeID://b663454764 nodeID://b663455389 nodeID://b663455390 nodeID://b663456819 nodeID://b663456820 nodeID://b663457445 nodeID://b663457446 nodeID://b663530292 nodeID://b663530293 nodeID://b663530918 nodeID://b663530919 nodeID://b663890538 nodeID://b663890539 nodeID://b663891164 nodeID://b663891165 nodeID://b664074310 nodeID://b664074311 nodeID://b664074936 nodeID://b664074937 nodeID://b665133566 nodeID://b665133567 nodeID://b665134192 nodeID://b665134193 nodeID://b665134894 nodeID://b665134895 nodeID://b665135520 nodeID://b665135521 nodeID://b665147989 nodeID://b665147990 nodeID://b665148615 nodeID://b665148616 nodeID://b665149241 nodeID://b665149242 nodeID://b665149867 nodeID://b665149868 nodeID://b665150497 nodeID://b665150498 nodeID://b665151123 nodeID://b665151124 nodeID://b665151749 nodeID://b665151750 nodeID://b665152375 nodeID://b665152376 nodeID://b665162411 nodeID://b665162412 nodeID://b665163037 nodeID://b665163038 nodeID://b665163669 nodeID://b665163670 nodeID://b665164295 nodeID://b665164296 nodeID://b665179899 nodeID://b665179900 nodeID://b665180524 nodeID://b665180525 nodeID://b665181149 nodeID://b665181150 nodeID://b665181775 nodeID://b665181776 nodeID://b665182544 nodeID://b665182545 nodeID://b665183026 nodeID://b665183027 nodeID://b665183652 nodeID://b665183653 nodeID://b665265052 nodeID://b665265053 nodeID://b665265678 nodeID://b665265679 nodeID://b665458097 nodeID://b665458098 nodeID://b665458723 nodeID://b665458724 nodeID://b665472447 nodeID://b665472448 nodeID://b665473073 nodeID://b665473074

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