ti_grandprix: GrandPrix

In dynverse/dynmethods: A collection of trajectory inference methods

GrandPrix

Description

Will generate a trajectory using GrandPrix.

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

Usage

ti_grandprix(
  n_inducing_points = 40L,
  latent_prior_var = 0.1,
  latent_var = 0.028
)

Arguments

n_inducing_points	. Domain: U(0, 1). Default: 40. Format: integer.
latent_prior_var	. Domain: U(0, 1). Default: 0.1. Format: numeric.
latent_var	. Domain: U(0, 1). Default: 0.028. Format: numeric.

Value

A TI method wrapper to be used together with infer_trajectory

References

Ahmed, S., Rattray, M., Boukouvalas, A., 2017. GrandPrix: Scaling up the Bayesian GPLVM for single-cell data.

dynverse/dynmethods documentation built on Jan. 18, 2024, 4:44 a.m.