# Install BiocManager (if you don't have it) if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("sva") Load the library library(sva)
# Estimate number of surrogate variables (Sv) n.sv <- num.sv(lcpm, mod, method="leek") print(paste("Estimated surrogate variables:", n.sv)) svobj <- sva(lcpm, mod, mod0, n.sv=n.sv) sequator download
Open your R console and run:
April 14, 2026 | Category: Bioinformatics Tools # Install BiocManager (if you don't have it) if (
If you work with next-generation sequencing (NGS) data, particularly RNA-seq, you know the nightmare of batch effects. You run your experiment, get your counts, but when you cluster the samples, they separate by date of extraction or sequencing run rather than by treatment group. method="leek") print(paste("Estimated surrogate variables:"
