GenerateCellularRules: Generate association rules from original data E^0

In rahuldhodapkar/crules: Association Rule Learning Toolkit for Single Cells

Description

Generate association rules from original data E^0

Usage

GenerateCellularRules(
  exp.mat,
  arm.algorithm = "apriori",
  supp = 0,
  conf = 40,
  ...
)

Arguments

exp.mat	a cell (row) by gene (column) expression matrix of class 'ngCMatrix'
arm.algorithm	algorithm used for frequent itemset mining, supports 'apriori' (default) and 'eclat'.
supp	Default 0, minimum support to pass to arm.algorithm in [0,100]
conf	Default 40, minimum confidence to pass to arm.algorithm in [0,100]
...	additional parameters to pass for rule mining

Value

a rules object generated from the single cell data

rahuldhodapkar/crules documentation built on Jan. 21, 2022, 2:06 p.m.