Run one in silico perturbation experiment and return the raw result object.

intervene {linear}

R Documentation

intervene(model, gene,
    mode = "knockout",
    value = 0);

model

the perturbation engine that is created via elastic_model. [as ElasticNet]

gene

the target gene id. [as string]

mode

knockout, knockdown, overexpress or custom. [as string]

value

the absolute expression value in the model space, only used by the custom mode. [as double]

env

the R# runtime environment object. [as Environment]

TRNtoolkit

an InterventionResult object; use as.list to access the fields (the $ indexing is not supported on this object).

[Package linear version 1.0.0.0 Index]