This function simulates biological effects on benchmark data by amplifying
the signal between two groups based on a specified amplification factor.
It modifies the input data and returns the amplified data along with group information.
Usage
biological.effects(benchmark, group, c)
Arguments
- benchmark
Numeric matrix of expression values, (p by n), where
p is the number of features and n is the number of samples.
- group
Factor or vector of character strings defining sample groups
for each sample. Must have exactly two levels.
- c
Numeric amplification factor
Value
List containing modified data, group information, and amplification factor.