splatSimDE: Simulate maximal |fold-change|

In zacharewskilab/splattdr: What the Package Does (One Line, Title Case)

Description

Simulate the gene-wise scaling factors for differential expression. Scaling factor is determined following a log-normal distribution using getLNormFactors. These values are use to determine peak absolute fold change.

Simulate differential expression. Differential expression factors for each group are produced using getLNormFactors and these are added along with updated means for each group. For paths care is taken to make sure they are simulated in the correct order.

Simulate differential expression. Differential expression factors for each group are produced using getLNormFactors and these are added along with updated means for each group. For paths care is taken to make sure they are simulated in the correct order.

Simulate differential expression. Differential expression factors for each group are produced using getLNormFactors and these are added along with updated means for each group. For paths care is taken to make sure they are simulated in the correct order.

Usage

splatSimDoseResponse(sim, params)

splatSimDoseResponseModel(
  sim,
  params,
  models.prob = rep(1/6, 6),
  verbose = FALSE
)

calcFC(sim)

calcZeroP(sim)

Arguments

sim	SingleCellExperiment to add differential expression to.
params	splatParams object with simulation parameters.

Value

SingleCellExperiment with scaling factors for differential expression.

SingleCellExperiment with simulated differential expression.

SingleCellExperiment with simulated differential expression.

SingleCellExperiment with simulated differential expression.

zacharewskilab/splattdr documentation built on Dec. 23, 2021, 9:11 p.m.