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SpaPheno: Linking Spatial Transcriptomics to Clinical Phenotypes with Interpretable Machine Learning

2025-09-20

Abstract excerpt

Linking spatial transcriptomic data to clinically relevant phenotypes is essential for advancing spatially informed precision oncology. Here, we present SpaPheno, an interpretable machine learning framework that integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes, including survival, tumor stage, and immunotherapy respon...

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Literature Corpus work
10086583-5d42-53f9-a95a-1ad3a2d45a7e
DOI
10.1101/2025.09.18.676993
Open publication

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SpaPheno: Linking Spatial Transcriptomics to Clinical Phenotypes with Interpretable Machine LearningDOI 10.1101/2025.09.18.676993
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