filterFeaturesByPrevalence: Selects the most prevalent features in the dataset baset on...

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Selects the most prevalent features in the dataset baset on the provided thresholds.

Description

Filters out all features that display a prevalence below a given threshold provided as a number of observations or percentage. This for the total dataset or by class.

Usage

filterFeaturesByPrevalence(
  X,
  y = NULL,
  nb.prevalence = NULL,
  perc.prevalence = NULL,
  by.class = TRUE
)

Arguments

X:	the dataset X
y:	the class vector (default:NULL)
nb.prevalence:	the minimum number of non zero observations (default: 10)
perc.prevalence:	the percentage of non zero observations (default: NULL)
by.class:	wether the filter should be applied by class (default: TRUE)

Value

the filtered dataset, without the features that do not pass the filter.

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.