#bayesian-models

#bayesian-models

Current scalable Gaussian Process Latent Variable Models (GPLVMs) are not effective for clustering cell types, prompting the introduction of the improved BGPLVM model designed specifically for single-cell RNA-seq analysis.

In this section, we delve into the various BGPLVM (Bayesian Gaussian Process Latent Variable Model) architectures currently established in the literature, focusing on their variational distributions.

"A key benefit of using GPLVMs is that we can encode prior information into the generative model, especially through the kernel design, allowing for more interpretable latent spaces and less training data."