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: Often applied in studies of complex diseases like Alzheimer's or frontotemporal dementia to map spatial transcriptomics and identify novel molecular targets.

(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. zipoz_00333.jpg

If you have the image file, could you describe what it shows (e.g., a or a regression line )? This would help pinpoint exactly which biological dataset or benchmark study it belongs to. : Often applied in studies of complex diseases