399-SPLISOSM: Mapping Spatial Isoform Diversity in Brain
The paper introduces SPLISOSM, a novel computational framework designed to identify spatial isoform variability across diverse spatial transcriptomics platforms. By employing spectral graph theory and kernel-based statistical tests, the method maintains high sensitivity while effectively filtering out noisy signals in large-scale biological datasets. A significant innovation includes a conditional independence framework that prevents false positives caused by spatial confounding, allowing researchers to distinguish true biological patterns from correlated noise. The authors demonstrate the…
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