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SpaMTP: integrative statistical analysis and visualization of spatial metabolomics and transcriptomics data

Nature Methods Bioinformatics AI Andrew Causer, Tianyao Lu, Jurgen Kriel, Joel J. D. Moffet, Christopher C. J. Fitzgerald, Andrew Newman, Hani Vu, Xiao Tan, Tuan Vo, Cedric Cui, Vinod K. Narayana, James R. Whittle, Sarah A. Best, Saskia Freytag, Quan Nguyen 2026-07-31

TL;DR - SpaMTP is a statistical analysis and visualization method for jointly analyzing spatial metabolomics and transcriptomics data. The brief description indicates broad integrative capabilities, but provides no performance or validation results.

Combines two spatial omics modalities: metabolites and gene expression.
Supports both joint statistical analysis and visualization.
Aims to enable more comprehensive study of spatially resolved biological systems.

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