: Developed to handle technical noise in single-cell data using a deep neural network approach.
: Researchers often use R packages like riboWaltz for diagnostic analysis and visual inspection of such sequencing data. zipoz_00333.jpg
(Zero-inflated Poisson-based autoencoder) is a deep learning framework designed to de-noise scRNA-seq data by addressing the "dropout" phenomenon, where gene expression values are falsely recorded as zero due to technical limitations. : Developed to handle technical noise in single-cell