ccImpute                Impute Dropout Values in Single-Cell RNA
                        Sequencing Data
colRanks_fast           Computes rankings for each column of a matrix
                        in parallel.
computeDropouts         Impute Dropout Values in a Log-normalized
                        Expression Count Matrix
cor_fast                Computes a Pearson
doSVD                   Perform Truncated Singular Value Decomposition
                        (SVD)
estkTW                  Estimate the Number of Clusters (k) Using the
                        Tracy-Widom Bound
findDropouts            Identify Dropout Events in Single-Cell
                        Expression Data
getConsMtx              This function calculates an average consensus
                        matrix from a set of clustering solutions. It
                        filters out values below a specified minimum
                        threshold ('consMin') and normalizes the
                        remaining non-zero columns to sum to 1.
getCorM                 Calculate Column-wise Correlation Matrix
getScale                Computes Means and Standard Deviations for
                        Scaling
rowVars_fast            Computes Row Variances Efficiently
runKM                   Perform Consensus K-Means Clustering
solver                  Computes imputed expression matrix using linear
                        eq solver
solver2                 Fast Calculation of "Dropout" values
sparseColRanks_fast     Computes rankings for each column of a matrix
                        in parallel.
sparseSolver2           Fast Calculation of "Dropout" values
wCor_fast               Computes a Weighted Pearson
