1616-Statescope: Multi-Omics Deconvolution for Tumor States
The paper introduces Statescope, a novel Bayesian framework designed to identify cell states and composition within tumors by analyzing bulk RNA-seq data. This computational tool improves upon existing methods by integrating DNA-derived malignant cell purity and modeling inter-sample variation, allowing for more precise multi-omic deconvolution. Through rigorous benchmarking, the authors demonstrate that the system can accurately detect cellular states, including those frequently missed by single-cell sequencing or absent from reference signatures. When applied to clinical trial data…
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