dimsum__calculate_fitness: dimsum__calculate_fitness

In lehner-lab/DiMSum: A pipeline for processing deep mutational scanning data

dimsum__calculate_fitness

Description

Calculate fitness and error.

Usage

dimsum__calculate_fitness(
  dimsum_meta,
  input_dt,
  all_reps,
  error_model_dt,
  norm_model_dt,
  verbose = T
)

Arguments

dimsum_meta	an experiment metadata object (required)
input_dt	input data.table (required)
all_reps	list of replicates to retain (required)
error_model_dt	error model data.table (required)
norm_model_dt	normalisation model data.table (required)
verbose	whether or not to print status messages (default: TRUE)

Value

data.table with fitness and error

lehner-lab/DiMSum documentation built on April 10, 2024, 4:15 a.m.