adjusted_rand_index     Adjusted Rand Index (ARI)
average_silhouette_width
                        Average Silhouette Width (ASW)
batch_params            Batch effects strength
batchCorrect            batchCorrect
capture_params          Capture parameters of the correction methods
clustInput              Convert into a SingleCellExperiment object for
                        clustering
combatRun               ComBat method
compute_lisi            Local Inverse Simpson Index (LISI)
compute_simpson_index   Compute the Local Inverse Simpson Index (LISI)
extract_features        Extract data characteristics
fastMNNPost             Convert fastMNN output
fastMNNRun              fastMNN method
harmonyPost             Convert Harmony output
harmonyRun              Harmony method
kl_gamma                Kullback-Leibler (KL) divergence) between two
                        Gamma distributions
leiden_clustering       Leiden clustering
lib_size_params         Library size parameters
ligerInput              Convert to a LIGER compatible object
ligerPost               Convert the LIGER output
ligerRun                LIGER method
LimmaParams             BatChefParams methods
limmaRun                limma method
linearInput             Convert into a SingleCellExperiment object for
                        linear model based methods
linearPost              Convert the output of linear models
local_inverse_simpson_index
                        Median of Local Inverse Simposon Index (LISI)
log_transf              A shifted log transformation
merge_params            Parameters merging
metrics                 Performance evaluation metrics.
normalized              Normalization
normalized_mutual_info
                        Normalized Mutual Information (NMI)
outlier_params          Highly expressed genes probability
params_btc_factors      Gamma parameters estimation of batch factors
prediction_plot         Prediction plot
sceInput                Convert into a SingleCellExperiment object
scMerge2Post            Convert the scMerge2 output
scMerge2Run             scMerge2 method
seuratv3Input           Convert to a SeuratV3 compatible object
seuratv3Post            Convert the SeuratV3 output
seuratV3Run             Seurat V3 method
seuratv5Input           Convert to a SeuratV5 compatible object
seuratv5Post            Convert the SeuratV5 output
seuratV5Run             Seurat V5 method
simulate_data           Function to simulate data
suggested_method        Suggested method prediction
wasserstein_distance    Wasserstein distance
winsorization           Winsorization
