| ora_bino | R Documentation | 
Performs ORA while adjusting for undetected metabolites by binomial resampling.
ora_bino(SIG, DET, M, method = "naive", probs = c(0.025, 0.975), nsim = 1000, lambda = 5)
| SIG | Character vector of significant metabolites. | 
| DET | Character vector of detected metabolites. | 
| M | Named list of metabolite sets. | 
| method | 
 | 
| probs | Quantiles for the confidence interval (default 95%). | 
| nsim | Number of binomial simulations (default 1000). | 
| lambda | Shrinkage parameter used when  | 
A list containing one matrix. Rows = metabolite sets; columns = lower, median, and upper p-values.
Hiroyuki Yamamoto
# Example: Metabolome data
data(fasting_mseapca)
SIG <- fasting_mseapca$SIG
DET <- fasting_mseapca$DET
M <- fasting_mseapca$pathway
# Perform ORA using detected metabolites only
B <- ora_bino(SIG, DET, M, method="naive", nsim = 10)
B$`Range of p-values for each pathway`
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