Genomic profiling enables therapy individualization when actionable mutations (FLT3, NPM1, IDH1/2, TP53) are present, moving ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...
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