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SpatialCOC: an integrative framework for spatial continuous mapping and cross-omics correction in spatial multi-omics data

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This repository contains the essential materials for reproducing the results of SpatialCOC.

💡Description

SpatialCOC is a multimodal integration framework for spatial multi-omics data. SpaKnit treats different omics modalities as continuous functions defined by their shared spatial coordinates, enabling it to uncover nonlinear correlations among these modalities.

SpatialCOC_Framework

🎬Getting started

We provide detailed tutorials as well as all image reproductions at SpatialCOC' toturials and documentation.

Before using, please visit the link below to download all the raw data and the results: Data for SpatialCOC and Results for SpatialCOC.

📩Contact

Mingxuan Li: ✉️3123154029@stu.xjtu.edu.cn

About

We present SpatialCOC, a deep learning framework that deciphers cellular spatial organization and cross-omics relationships.

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