Browsing: Analysis

Data analysis empowers businesses and professionals to make more informed, data-driven decisions and predictions. To do it, though, they need access to a wide range of data analysis tools that can transform those raw data points into actionable insights. There’s a lot to consider when choosing the right tool, but here’s what you need to…

Healthcare and life sciences (HCLS) organizations are generating large volumes of patient-level data spanning genomic, clinical, medical imaging, and other modalities. While this multimodal data offers a comprehensive view that can improve patient outcomes, analyzing it at scale remains challenging. Each modality requires distinct storage infrastructure and domain-specific formats (FHIR for clinical records, DICOM for…

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,…