Browsing: Visualization

Data visualization tools are sometimes seen as entry-level analytics. Most vendors boast easy-to-use tools that can be picked up by line-of-business users who lack formal analytics training. In most minds, AI and machine learning exist on totally different planes due to their complexity and the skill level they demand.

Spatially resolved multimodal data enable the exploration of transcriptional, proteomic and metabolic regulation, yet analytical tools to integrate these spatial omics modalities, particularly spatial metabolomics, remain limited. We developed SpaMTP, an end-to-end framework that implements functions within a common Seurat architecture. It introduces analyses for metabolite annotation, joint clustering, enrichment tests, spatial alignment, multimodal integration,…