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RKMR: A Rapid Kernel Machine Regression Framework for Optimal Marker Detection in Spatial Omics Data

2026-07-30

Abstract excerpt

High-throughput spatial omics technologies enable molecular profiling within intact tissue architecture, yet identifying concise, predictive, and biologically interpretable marker panels for cell types, tissue domains, and disease-associated tissue classes remains challenging. This limitation hinders the development of actionable panels for targeted validation and downstream translation. Existing pipelines rely la...

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Literature Corpus work
0fbc8133-e2d7-57f5-ac0e-a340022f28ef
DOI
10.64898/2026.07.27.740999
Open publication

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