Complete Spatially Resolved Gene Expression is Not Necessary for Identifying Spatial Domains

Overview

Journal Cell Genom

Date 2024 May 23

PMID 38781966

Authors

Senlin Lin

Yan Cui

Fangyuan Zhao

Zhidong Yang

Jiangning Song

Jianhua Yao

Yu Zhao

Bin-Zhi Qian

Yi Zhao

Zhiyuan Yuan

Affiliations

Soon will be listed here.

Abstract

Spatially resolved transcriptomics (SRT) technologies have revolutionized the study of tissue organization. We introduce a graph convolutional network with an attention and positive emphasis mechanism, termed BINARY, relying exclusively on binarized SRT data to accurately delineate spatial domains. BINARY outperforms existing methods across various SRT data types while using significantly less input information. Our study suggests that precise gene expression quantification may not always be essential, inspiring further exploration of the broader applications of spatially resolved binarized gene expression data.

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