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553-PRISM: Precise Microbial Identification in Human

This research introduces PRISM, a novel computational framework designed to accurately identify and decontaminate microbial signals within human genomic data. Researchers developed this tool to resolve ongoing controversies in the cancer microbiome field caused by taxonomic misclassification and environmental contamination. By utilizing a gradient-boosted tree model and rigorous host-read removal, PRISM distinguishes truly present microorganisms from technical artifacts with high sensitivity and specificity. Analysis of TCGA and CPTAC datasets revealed robust microbial signatures in…

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