| 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. |