generate_df_scores: generate_df_scores

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

Description

function to generate the weights of the edges given the combinations. It is automatically called by the geNet() function. the correlation coefficient and its pvalue is calculated using the cor.test function from the stat package. See the relative documentation for additional details.

Usage

generate_df_scores(all_combs, binary_matrix, signif_test = "cor_test")

Arguments

all_combs	matrix of combinations
binary_matrix	binary matrix of presence/absences genes
signif_test	significance test to use. cor_test: use Pearson correlation test approach (faster) chisquare: use chi-square test approach (slower) Read vignettes for additional details about the significance tests used.

Value

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

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