Will generate a trajectory using STEMNET.
This method was wrapped inside a container. The original code of this method is available here.
ti_stemnet(alpha = 0.1, lambda_auto = TRUE, lambda = 0.1, force = FALSE, run_environment = NULL)
| alpha | numeric; The elastic net mixing parameter of the ‘glmnet’
classifier. (default: |
|---|---|
| lambda_auto | logical; Whether to select the lambda by cross-validation |
| lambda | numeric; The lambda penalty of GLM. (default: |
| force | logical; Do not use! This is a parameter to force FateID to run on benchmark datasets where not enough end groups are present. |
| run_environment | In which environment to run the method, can be |
A TI method wrapper to be used together with
infer_trajectory
Velten, L., Haas, S.F., Raffel, S., Blaszkiewicz, S., Islam, S., Hennig, B.P., Hirche, C., Lutz, C., Buss, E.C., Nowak, D., Boch, T., Hofmann, W.-K., Ho, A.D., Huber, W., Trumpp, A., Essers, M.A.G., Steinmetz, L.M., 2017. Human haematopoietic stem cell lineage commitment is a continuous process. Nature Cell Biology 19, 271–281.