NIH R01 · 2025
Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments
Abstract Recently, high-throughput spatial omics technologies have made it possible to simultaneously measure close- to-cell-level gene or protein expressions and spatial locations of these cells within a tissue or organ. These new technologies have provided an unprecedented opportunity to investigate tissue architecture and cell-cell communications. Although multiple computational tools for spatial omics data analysis have recently become available, a rigorous statistical framework for designing spatial omics experiments is still missing in the literature. Researchers need to determine various experimental design parameters, such as the sequencing depth and the number and sizes of…
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