ora | R Documentation |
This function performs a traditional over representation analysis based on hypergeometric test: classes are treated as sets of individual metabolites and all metabolites are treated as equally informative. This function uses Food-Biomarker Ontology knowledge as biological information.
ora(
metaboliteList,
metaboliteUniverse,
subOntology = "food",
pvalCutoff = 0.01,
fobi = fobitools::fobi
)
metaboliteList |
A vector of FOBI metabolite identifiers that define the selected list of metabolites. |
metaboliteUniverse |
A vector of FOBI metabolite identifiers that define the universe of possible metabolites (all metabolites analyzed in the study). |
subOntology |
A character string specifying one of the two FOBI sub-ontologies: "food", or "biomarker". |
pvalCutoff |
A numeric value indicating a p-value cutoff for raw p-values generated by hypergeometric test. |
fobi |
FOBI table obtained with 'parse_fobi()'. If this value is set to NULL, the last version of FOBI will be downloaded from GitHub. |
A tibble with ORA results.
Pol Castellano-Escuder
G. Korotkevich, V. Sukhov, A. Sergushichev. Fast gene set enrichment analysis. bioRxiv (2019), doi:10.1101/060012
Pol Castellano-Escuder, Raúl González-Domínguez, David S Wishart, Cristina Andrés-Lacueva, Alex Sánchez-Pla, FOBI: an ontology to represent food intake data and associate it with metabolomic data, Database, Volume 2020, 2020, baaa033, https://doi.org/10.1093/databa/baaa033.
metaboliteUniverse <- c(fobitools::idmap$FOBI[1:200], fobitools::idmap$FOBI[400:450])
metaboliteList <- c(fobitools::idmap$FOBI[1:50], fobitools::idmap$FOBI[70:80])
# Food enrichment analysis
fobitools::ora(metaboliteList = metaboliteList,
metaboliteUniverse = metaboliteUniverse,
pvalCutoff = 1)
# Chemical class enrichment analysis
fobitools::ora(metaboliteList = metaboliteList,
metaboliteUniverse = metaboliteUniverse,
subOntology = "biomarker",
pvalCutoff = 1)
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