ti_topslam | R Documentation |
Will generate a trajectory using topslam.
This method was wrapped inside a container. The original code of this method is available here.
ti_topslam(
n_components = 2L,
n_neighbors = 10L,
linear_dims = 0L,
max_iters = 1000L,
dimreds = c("t-SNE", "PCA", "Spectral", "Isomap", "ICA")
)
n_components |
The number of components. Domain: U(2, 10). Default: 2. Format: integer. |
n_neighbors |
The number of neighbors. Domain: U(2, 100). Default: 10. Format: integer. |
linear_dims |
. Domain: U(0, 5). Default: 0. Format: integer. |
max_iters |
The number of iterations to optimize over. Domain: e^U(2.30, 9.21). Default: 1000. Format: integer. |
dimreds |
Which dimensionality reductions to use and/or ICA. Domain: all subsets of t-SNE, PCA, Spectral, Isomap, ICA. Default: t-SNE, PCA, Spectral, Isomap, ICA. Format: subset. |
A TI method wrapper to be used together with
infer_trajectory
Zwiessele, M., Lawrence, N.D., 2016. Topslam: Waddington Landscape Recovery for Single Cell Experiments.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.