haCCA: Multi-module Integrating of spatial transcriptomes and metabolomes.
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Integrating spatial transcriptomes and MALDI-MSI is challenge due to no shared coordinates or features. We present \(\:haCCA\), a workflow to integrate spatial transcriptomes and metabolomes using high-correlated feature pairs and modified spatial registration. We tested \(\:haCCA\) on pseudo and real data, proving that \(\:haCCA\:\)achieving a better performance than existing methods. Further application of \(\:haCCA\) on a custom dataset from ICC model enabled both in situ and in vivo exploration of the metabolic alteration effect of NETs on ICC. A Python package was developed to facilitate its use.