% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/prepare_data2fit.R
\name{trimmedMeanMvaluesNormalization}
\alias{trimmedMeanMvaluesNormalization}
\title{Normalize count data using Trimmed Mean of M-values (TMM) method}
\usage{
trimmedMeanMvaluesNormalization(counts_matrix)
}
\arguments{
\item{counts_matrix}{A matrix of count data where rows represent genes and columns represent samples.}
}
\value{
Normalized count matrix
}
\description{
This function normalizes count data using the Trimmed Mean of M-values (TMM) method,
which calculates scale factors to account for differences in library sizes
and RNA composition between samples.
}