Constructing Gene Co-Expression Networks for Single-Cell RNA-Sequencing Data Using Pseudotime Ordering


[Up] [Top]

Documentation for package ‘LEAP’ version 0.2

Help Pages

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.