Seid Miad Zandavi

This paper introduces a method to convert single-cell RNA sequencing data into images for improved cell type classification using deep learning.

This paper introduces scPSD, a pre-processing method that improves cell subtype separation in single-cell omics data by reducing complexity and enhancing cell-type discrimination.

This study identifies three lncRNAs consistently dysregulated across eight cancer types and shows they are involved in similar biological processes related to cancer progression.