BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk.

ABSTRACT: While single-cell experiments provide deep cellular resolution within a single sample, some single-cell experiments are inherently more challenging than bulk experiments due to dissociation difficulties, cost, or limited tissue availability. This creates a situation where we have deep cellular profiles of one sample or condition, and bulk profiles across multiple samples and conditions. To bridge this gap, we propose BuDDI (BUlk Deconvolution with Domain Invariance). BuDDI utilizes domain adaptation techniques to effectively integrate available corpora of case-control bulk and reference scRNA-seq observations to infer cell-type-specific perturbation effects. BuDDI achieves this by learning independent latent spaces within a single variational autoencoder (VAE) encompassing at least four so

SUBMITTER: Davidson NR 

PROVIDER: S-EPMC11790236 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature