dimsum__replicate_fitness_deviation: dimsum__replicate_fitness_deviation

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

dimsum__replicate_fitness_deviation

Description

Calculate (square-root of sum of squared) differences between replicate fitness values (for all variants) given normalisation parameters

Usage

dimsum__replicate_fitness_deviation(p, fitness_mat, all_reps)

Arguments

p	vector of normalisation parameters (required)
fitness_mat	matrix of fitness values (required)
all_reps	list of replicates to retain (required)

Value

the square-root of sum of squared differences to mean over replicates

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