ti_calista: CALISTA
In dynverse/dynmethods: A collection of trajectory inference methods
ti_calista R Documentation
CALISTA
Description
Will generate a trajectory using CALISTA.
This method was wrapped inside a
container.
The original code of this method is available
here.
Usage
ti_calista(runs = 50L, max_iter = 100L)
Arguments
runs
Number of independent runs of greedy algorithm. Domain: U(20, 100).
Default: 50. Format: integer.
max_iter
Number of iterations in greedy algorithm. Domain: U(20, 400).
Default: 100. Format: integer.
Value
A TI method wrapper to be used together with
infer_trajectory
References
Papili Gao, N., Hartmann, T., Fang, T., Gunawan, R., 2018. CALISTA:
Clustering And Lineage Inference in Single-Cell Transcriptional Analysis.
dynverse/dynmethods documentation built on Jan. 18, 2024, 4:44 a.m.
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| ti_calista | R Documentation |
CALISTA
Description
Will generate a trajectory using CALISTA.
This method was wrapped inside a container. The original code of this method is available here.
Usage
ti_calista(runs = 50L, max_iter = 100L)
Arguments
runs |
Number of independent runs of greedy algorithm. Domain: U(20, 100). Default: 50. Format: integer. |
max_iter |
Number of iterations in greedy algorithm. Domain: U(20, 400). Default: 100. Format: integer. |
Value
A TI method wrapper to be used together with
infer_trajectory
References
Papili Gao, N., Hartmann, T., Fang, T., Gunawan, R., 2018. CALISTA: Clustering And Lineage Inference in Single-Cell Transcriptional Analysis.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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