showBest | R Documentation |
Modules are listed in the order of priority. Only the top-ranked n features in each module are shown. The priority of a module is the ratio of number of features in it that are ranked higher than the cut-off and the size of the module. This utility function makes it easier to understand default prioritization results of large datasets where a few hundred metabolic features are highly-prioritized.
showBest(
mac.result,
priority_threshold = 0.9,
per_module = 10,
per_phenotype = 1000,
only_characterizable = TRUE
)
mac.result |
the output of Macarron::Macarron() or Macarron::prioritize(). |
priority_threshold |
cut-off of priority score. Default = 0.9. |
per_module |
show first n highly prioritized features in a module. Default = 10 |
per_phenotype |
show highly prioritized n features per phenotype/condition. Default = 1000 |
only_characterizable |
show highly prioritized features in modules which contain at least one annotated metabolite. Default = TRUE |
best.mets -highly-prioritized bioactives in each module in each phenotype
prism_abundances = system.file("extdata", "demo_abundances.csv", package="Macarron")
abundances_df = read.csv(file = prism_abundances, row.names = 1)
prism_annotations = system.file("extdata", "demo_annotations.csv", package="Macarron")
annotations_df = read.csv(file = prism_annotations, row.names = 1)
prism_metadata = system.file("extdata", "demo_metadata.csv", package="Macarron")
metadata_df = read.csv(file = prism_metadata, row.names = 1)
met_taxonomy = system.file("extdata", "demo_taxonomy.csv", package="Macarron")
taxonomy_df = read.csv(file = met_taxonomy)
mbx <- Macarron::prepInput(input_abundances = abundances_df,
input_annotations = annotations_df,
input_metadata = metadata_df)
w <- Macarron::makeDisMat(se = mbx)
modules.assn <- Macarron::findMacMod(se = mbx,
w = w,
input_taxonomy = taxonomy_df)
mets.ava <- Macarron::calAVA(se = mbx,
mod.assn = modules.assn)
mets.qval <- Macarron::calQval(se = mbx,
mod.assn = modules.assn)
mets.es <- Macarron::calES(se = mbx,
mac.qval = mets.qval)
mets.prioritized <- Macarron::prioritize(se = mbx,
mod.assn = modules.assn,
mac.ava = mets.ava,
mac.qval = mets.qval,
mac.es = mets.es)
best.mets <- Macarron::showBest(mac.result = mets.prioritized)
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