diff --git a/DESCRIPTION b/DESCRIPTION
index f6fae51b..9c67e018 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -95,7 +95,6 @@ Suggests:
     ragg,
     reactome.db,
     renv,
-    rliger,
     RcppParallel,
     RcppML,
     scattermore,
diff --git a/R/SCP-cellqc.R b/R/SCP-cellqc.R
index a8701232..8287e678 100644
--- a/R/SCP-cellqc.R
+++ b/R/SCP-cellqc.R
@@ -258,7 +258,7 @@ isOutlier <- function(x, nmads = 2.5, constant = 1.4826, type = c("both", "lower
 #' This function handles multiple quality control methods for single-cell RNA-seq data.
 #'
 #' @inheritParams RunDoubletCalling
-#' @param batch Name of the batch variable to split the Seurat object. Default is NULL.
+#' @param split.by Name of the sample variable to split the Seurat object. Default is NULL.
 #' @param qc_metrics A character vector specifying the quality control metrics to be applied. Default is
 #'   `c("doublets", "outlier", "umi", "gene", "mito", "ribo", "ribo_mito_ratio", "species")`.
 #' @param return_filtered Logical indicating whether to return a cell-filtered Seurat object. Default is FALSE.
diff --git a/man/RunCellQC.Rd b/man/RunCellQC.Rd
index 29f91753..e239d7ed 100644
--- a/man/RunCellQC.Rd
+++ b/man/RunCellQC.Rd
@@ -38,6 +38,8 @@ RunCellQC(
 
 \item{assay}{The name of the assay to be used for doublet-calling. Default is "RNA".}
 
+\item{split.by}{Name of the sample variable to split the Seurat object. Default is NULL.}
+
 \item{qc_metrics}{A character vector specifying the quality control metrics to be applied. Default is
 `c("doublets", "outlier", "umi", "gene", "mito", "ribo", "ribo_mito_ratio", "species")`.}
 
@@ -79,8 +81,6 @@ RunCellQC(
 \item{species_percent}{Percentage of UMI counts of the first species. Cells that exceed this threshold will be considered as kept. Default is 95.}
 
 \item{seed}{Set a random seed. Default is 11.}
-
-\item{batch}{Name of the batch variable to split the Seurat object. Default is NULL.}
 }
 \value{
 Returns Seurat object with the QC results stored in the meta.data slot.