Will generate a trajectory using CALISTA.

This method was wrapped inside a container. The original code of this method is available here.

ti_calista(runs = 50L, max_iter = 100L, run_environment = NULL)

Arguments

runs

integer; Number of independent runs of greedy algorithm (default: 50L; range: from 20L to 100L)

max_iter

integer; Number of iterations in greedy algorithm (default: 100L; range: from 20L to 400L)

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

References

Papili Gao, N., Hartmann, T., Gunawan, R., 2018. CALISTA: Clustering And Lineage Inference in Single-Cell Transcriptional Analysis.