scregclust (version 0.2.0)

split_sample: Split Sample

Description

Splits sample in train and test set

Usage

split_sample(
  z,
  stratification,
  is_regulator,
  split_indices,
  split1_proportion,
  total_proportion,
  center
)

Value

a list containing

z1_reg

first data split, TF-part

z2_reg

second data split, TF-part

z1_target

first data split, non-TF part

z2_target

second data split, non-TF part

split_indices

either verbatim the vector given as input or a vector encoding the splits as NA = not included, 1 = split 1 or 2 = split 2. Allows reproducibility of data splits.

Arguments

z

matrix of single cell data with rows as genes and columns as cells.

stratification

a vector by which the sampling will be stratified of length ncol(z)

is_regulator

an indicator vector, telling which rows in z are candidate regulators

split_indices

a vector of given split indices. can be NULL

split1_proportion

proportion to include in first data split

total_proportion

proportion of data to include overall in splitting

center

TRUE if data should be row-centered. Set to FALSE otherwise.