🧮 Math Derivation of a Top-Ranked scRNA-seq Imputation Method (SAVER)
Mathematical models used in SAVER, a tool of scRNAseq imputation, could well depict the structure inherent to the scRNAseq datasets as suggested by its superior performance. Here we derive SAVER's Poisson–gamma mixture model (also known as negative binomial model) and its Bayesian framework that leverage conjugate priors to estimate the posterior distribution of gene expression levels.
May 27, 2025
📊 Bypassing Marginals Using Conjugate Priors in Bayesian Inference-- Math Derivation
Conjugate priors are a powerful concept in Bayesian statistics that allow us to simplify the process of updating our beliefs about a parameter given new data.
May 27, 2025