ti_wanderlust.Rd
Will generate a trajectory using Wanderlust.
This method was wrapped inside a container. The original code of this method is available here.
ti_wanderlust(normalise = TRUE, knn = 25L, n_diffusion_components = 3L, n_pca_components = 30L, k = 25L, num_waypoints = 250L, epsilon = 1L)
normalise | . Default: TRUE. Format: logical. |
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knn | K-nearest neighbours for diffusion. Domain: U(15, 100). Default: 25. Format: integer. |
n_diffusion_components | Number of diffusion components. Domain: U(3, 20). Default: 3. Format: integer. |
n_pca_components | Number of pca components. Domain: U(15, 100). Default: 30. Format: integer. |
k | K parameter. Domain: U(15, 100). Default: 25. Format: integer. |
num_waypoints | Number of waypoints. Domain: U(100, 500). Default: 250. Format: integer. |
epsilon | Epsilon. Domain: U(0.1, 5). Default: 1. Format: numeric. |
A TI method wrapper to be used together with
infer_trajectory
Bendall, S.C., Davis, K.L., Amir, E.D., Tadmor, M.D., Simonds, E.F., Chen, T.J., Shenfeld, D.K., Nolan, G.P., Pe’er, D., 2014. Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development. Cell 157, 714–725.