find_biomarker {animalcules}R Documentation

Identify biomarkers

Description

Identify biomarkers

Usage

find_biomarker(MAE, tax_level, input_select_target_biomarker, nfolds = 3,
  nrepeats = 3, seed = 99, percent_top_biomarker = 0.2,
  model_name = c("logistic regression", "random forest"))

Arguments

MAE

A multi-assay experiment object

tax_level

The taxon level used for organisms

input_select_target_biomarker

Which condition is the target condition

nfolds

number of splits in CV

nrepeats

number of CVs with different random splits

seed

for repeatable research

percent_top_biomarker

Top importance percentage to pick biomarker

model_name

one of 'logistic regression', 'random forest'

Value

A list

Examples

data_dir = system.file('extdata/MAE.rds', package = 'animalcules')
toy_data <- readRDS(data_dir)
p <- find_biomarker(toy_data,
                    tax_level='genus',
                    input_select_target_biomarker=c('DISEASE'),
                    nfolds = 3,
                    nrepeats = 3,
                    seed = 99,
                    percent_top_biomarker = 0.2,
                    model_name = 'logistic regression')
p



[Package animalcules version 1.0.6 Index]