AdjustSIZE_fun          Adjust MME size estimate
BB_Fun                  Estimating size for each gene by either 1D or
                        2D maximization of marginal distribution
BetaFun                 Estimate capture efficiency for cells
Check_input             Check input
DownSampling            Binomial downsampling
EXAMPLE_DATA_list       A subset of Grun et al (2014) data: 2i samples
EstPrior                Estimate size and mu for Negative Binomial
                        distribution for each gene using MME method
EstPrior_rcpp           Estimate size and mu for Negative Binomial
                        distribution for each gene using MME method
                        (Rcpp version)
EstPrior_sprcpp         Estimate size and mu for Negative Binomial
                        distribution for each gene using MME method
                        (Rcpp version, sp_mat)
NOISY_FUN               Noisy gene detection
Prior_fun               A wrapper function of 'EstPrior' and
                        'AdjustSIZE_fun'
SyntheticControl        Generate synthetic control
asMatrix                Rcpp version: as.matrix
as_matrix               Rcpp version's as.matrix
bayNorm                 A wrapper function of prior estimation and
                        bayNorm function
bayNorm_sup             bayNorm with estimated parameters as input
noisy_gene_detection    A wrapper function for noisy gene detection
                        from raw data. his produces synthetic control,
                        performs bayNorm on both real cell data and
                        synthetic controls and does noisy gene
                        detection.
t_sp                    Transpose of sparse matrix
