% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculateqs.R
\name{load_data}
\alias{load_data}
\title{Load and preprocess SVG detection results from multiple methods}
\usage{
load_data(sample_ids, methods)
}
\arguments{
\item{sample_ids}{Character vector of sample IDs.}

\item{methods}{Character vector of method names.}
}
\value{
A tibble with columns: `gene`, `sample`, `method`, `rank`, `pred`, and method-specific scores.
}
\description{
This function reads CSV files containing ranked gene lists from different SVG detection methods,
standardizes their formats, and combines them into a single dataframe.
}
