gp.predict

The covariance matrix (kernel) for input points, not needed if U is provided.

The cross covariance matrix (kernel)

Kstar

The cross covariance matrix (kernel) for test points

Kstarstar

Predictive mean, variance and log marginal likelihood of a GP.
See "2.3 Varying the Hyperparameters"
on page 19 of Rasmussen and Williams' book.

Implements the DeLorean model (Reid & Wernisch (2016)
<doi:10.1093/bioinformatics/btw372>) to estimate pseudotimes for
single cell expression data. The DeLorean model uses a Gaussian process
latent variable model to model uncertainty in the capture time of
cross-sectional data.

John Reid

DeLorean

Estimates Pseudotimes for Single Cell Expression Data

gp.predict function

Predictive mean, variance and log marginal likelihood of a GP.
See "2.3 Varying the Hyperparameters"
on page 19 of Rasmussen and Williams' book. — gp.predict

gp.predict: Predictive mean, variance and log marginal likelihood of a GP. See "2.3 Varying the Hyperparameters" on page 19 of Rasmussen and Williams' book.

Description

Usage

Arguments