Inferring a trajectory inference using Projected TSCAN

Source: R/ti_projected_tscan.R

Will generate a trajectory using Projected TSCAN.

This method was wrapped inside a container.

ti_projected_tscan(minexpr_percent = 0, minexpr_value = 0,
  cvcutoff = 0, clusternum_lower = 2L, clusternum_upper = 9L,
  modelNames = "VVV", run_environment = NULL)

Arguments

minexpr_percent

numeric; (default: 0; range: from 0 to 1)
minexpr_value

numeric; (default: 0; range: from 0 to 10)
cvcutoff

numeric; (default: 0; range: from 0 to 5)
clusternum_lower

integer; (default: 2L; range: from 2L to 20L)
clusternum_upper

integer; (default: 9L; range: from 2L to 20L)
modelNames

discrete; (default: "VVV"; values: "EII", "VII", "EEI", "VEI", "EVI", "VVI", "EEE", "EVE", "VEE", "VVE", "EEV", "VEV", "EVV", "VVV")
run_environment

In which environment to run the method, can be "docker" or "singularity".

Value

A TI method wrapper to be used together with infer_trajectory