% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stats_tests.R
\name{flag.biological.relevance}
\alias{flag.biological.relevance}
\title{Assess Biological Relevance of Gene Expression Differences}
\usage{
flag.biological.relevance(effect.size, p.value, alpha = 0.05)
}
\arguments{
\item{effect.size}{Numeric. Cohen's d or other standardized effect size.}

\item{p.value}{Numeric. P-value from a statistical test.}

\item{alpha}{Numeric. Significance threshold used for the p-value
comparison. Default is \code{0.05}.}
}
\value{
Character string. One of three heuristic labels:
\describe{
\item{"Potentially biologically meaningful"}{p < alpha and |d| > 0.5}
\item{"Statistically significant but small effect"}{p < alpha and |d| <= 0.5}
\item{"No strong evidence of biological relevance"}{p >= alpha}
}
}
\description{
Provides a heuristic interpretation of whether a statistically significant
difference in gene expression is likely to be biologically meaningful,
based on effect size magnitude and p-value.
}
\details{
These rules are heuristic and intended as guidance rather than definitive
biological conclusions. The thresholds for effect size (0.5) and
significance are conventional starting points; domain knowledge should
inform interpretation. This function is called internally by
\code{analyze.gene()} using the same \code{alpha} passed to that function.
}
\examples{
\donttest{
flag.biological.relevance(effect.size = 0.6, p.value = 0.01)
}

}
