generate_final_df: generate_final_df function to generate the final df of scores...

In haneylab/geNet: Generating large network of co-occurring genes

Description

generate_final_df

function to generate the final df of scores based on the weights of edges generated by the generate_df_scores_ff() function. It is called automatically by the geNet() function

Usage

generate_final_df(binary_matrix, n_cores = 1, test = "cor_test")

Arguments

binary_matrix	binary matrix of presence/absences genes
n_cores	number of cores to use. Default to 1.
test	significance test to use. cor_test: use Pearson correlation test approach (faster) chisquare: use chi-square test approach (slower)

Value

Object of class "ffdf" containing the connections between the nodes and relative weights

Examples

## Not run: generate_final_df(binary_matrix,progress=F,n_cores=1,test="cor_test")

haneylab/geNet documentation built on Oct. 4, 2020, 8:40 a.m.