Spatial transcriptomic analysis of the human retina reveals long-term molecular alterations following COVID‑19
Abstract
This repository contains R scripts used to reproduce the analyses and figures presented in the associated manuscript. The code implements cross-platform validation of NanoString GeoMx DSP expression data against human retinal and RPE scRNA-seq datasets, layer-restricted deconvolution using non-negative least squares (NNLS), and downstream visualization and pathway analyses. Each script corresponds to a specific main or supplementary figure in the manuscript and is provided for transparency and reproducibility. This version (v1.0) reflects the analyses used in the submitted manuscript.
Fields of Study & Subjects
Single-cell and spatial transcriptomics
Retinal and Optic Conditions
Retinal Development and Disorders
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 January 2026
- Language
- EN