LEAP-package |
Constructing Gene Co-Expression Networks for Single-Cell RNA-Sequencing Data Using Pseudotime Ordering |
example_data |
Numeric data frame of example data |
FDR_cutoffs |
Function to perform a permutation analysis to determine a cutoff for significant MAC values. |
file_name |
Function to perform lag-based correlation anaylsis of single-cell sequencing data, sorted by pseudotime. |
lag_example |
Integer data frame |
LEAP |
Constructing Gene Co-Expression Networks for Single-Cell RNA-Sequencing Data Using Pseudotime Ordering |
MAC_counter |
Function to perform lag-based correlation anaylsis of single-cell sequencing data, sorted by pseudotime. |
MAC_cutoff |
Function to perform lag-based correlation anaylsis of single-cell sequencing data, sorted by pseudotime. |
MAC_example |
Numerical matrix |
MAC_lags |
Internal function used by MAC_counter and MAC_perm |
MAC_perm |
Function to perform a permutation analysis to determine a cutoff for significant MAC values. |
MAC_symmetric |
Numeric data frame |
max_lag_prop |
Function to perform lag-based correlation anaylsis of single-cell sequencing data, sorted by pseudotime. |
num_perms |
Function to perform a permutation analysis to determine a cutoff for significant MAC values. |
perm_example |
The resulting data ouptut from applying MAC_perm() to example_data |
perm_file_name |
Function to perform a permutation analysis to determine a cutoff for significant MAC values. |