李劲松

An imputation method for single‐cell RNA sequencing data based on a parallel gated recurrent unit neural network

Abstract Single‐cell RNA sequencing (scRNA‐seq) generates high‐dimensional transcriptomic data but is severely affected by dropout events, which obscure true gene–gene relationships. These missing values introduce bias into downstream analyses, complicate data processing, and red...