CellRefiner v1.0.0

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Authors: Eric Bourgain-Chang, Xiangyu Kuang, Zixuan Cang, Qing Hua Nie
Cited by: 1

Abstract

CellRefiner is a physical model-based method that integrates a scRNA-seq dataset with a paired spatial transcriptomics (ST) dataset to generate single-cell resolution in the imputed ST data. CellRefiner models cells as particles connected by forces, and then optimizes cell locations with spatial proximity constraints, gene expression similarity, and ligand-receptor interactions between cells.This is the release accompanying the publication.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026