ccImpute |
Impute Dropout Values in Single-Cell RNA Sequencing Data |
ccImpute-method |
Impute Dropout Values in Single-Cell RNA Sequencing Data |
ccImpute.SingleCellExperiment |
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 |