MFAParams: The MFAParams class

Description Parameters


S4 class that holds parameters for the mfa simulation.


The mfa simulation uses the following parameters:


The number of genes to simulate.


The number of cells to simulate.


Seed to use for generating random numbers.


Proportion of genes that show transient expression. These genes are briefly up or down-regulated before returning to their initial state


Logical. Whether to set negative expression values to zero. This will zero-inflate the data.


Logical. Whether to simulate dropout.


Lambda parameter for the exponential dropout function.

The parameters not shown in brackets can be estimated from real data using mfaEstimate. See create_synthetic for more details about the parameters. For details of the Splatter implementation of the mfa simulation see mfaSimulate.

splatter documentation built on Dec. 7, 2018, 6 p.m.