View source: R/NormEvaluation.R
EvaPRSD | R Documentation |
Calculate pooled relative standard deviation for each metabolic feature.
EvaPRSD(FeatureTable, GroupNames, SampleInCol = TRUE, output = FALSE)
FeatureTable |
Data frame with features in row and samples in column (default). |
GroupNames |
A character vector indicating the names of each group. |
SampleInCol |
|
output |
|
FeatureTable
contains measured signal intensities of metabolic features,
with features in row and samples in column (default). The column names should
be sample names, and the first row should be sample group names (e.g. control, case).
The first column should be unique feature identifiers.
An example of FeatureTable
is provided as TestingData
in this package.
This function will return a vector that contains the calculated PRSDs for all features.
Yu, Huaxu, and Tao Huan. "MAFFIN: Metabolomics Sample Normalization Using Maximal Density Fold Change with High-Quality Metabolic Features and Corrected Signal Intensities." bioRxiv (2021).
prsd = EvaPRMAD(TestingData, GroupNames=c("HY", "SX", "SW", "YC"))
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