BayesPG

Protein regulation inference by Khan, Elcheikhali et al, 2024

• Code available at: github.com/SlavovLab/BayesPG
• Data are available on this site at Khan, Elcheikhali et al, 2024
• Preprint: Khan S & Elcheikhali M, Leduc A, Huffman R, Derks J, Franks A & Slavov N, Inferring post-transcriptional regulation within and across cell types in human testis, bioRxiv, 2024

BayesPG is a Bayesian software for modeling single-cell RNA and protein abundance that systematically accounts for technical variation and infers biological differences. It infers post-transcriptional regulation by protein synthesis and degradation.

Implementation

BayesPG is available from github.com/SlavovLab/BayesPG. Try it out and give us feedback!