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SpaRx: Elucidate single-cell spatial heterogeneity of drug responses for personalized treatment.

Ziyang TangXiang LiuZuotian LiTonglin ZhangBaijian YangJing SuQianqian Song
Published in: bioRxiv : the preprint server for biology (2023)
We have developed a novel graph-based domain adaption model named SpaRx, to reveal the heterogeneity of spatial cellular response to different types of drugs, which bridges the gap between pharmacogenomics knowledgebase and single-cell spatial transcriptomics data.SpaRx is developed tailored for single-cell spatial transcriptomics data and is provided available as a ready-to-use open-source software, which demonstrates high accuracy and robust performance.SpaRx uncovers that tumor cells located in different areas within tumor lesion exhibit varying levels of sensitivity or resistance to drugs. Moreover, SpaRx reveals that tumor cells interact with themselves and the surrounding microenvironment to form an ecosystem capable of drug resistance.
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