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By integrating shared molecular signatures from plasma EV proteomic and single-cell transcriptomic analyses, we aimed to cross-validate our findings and ensure robust interpretation despite the limitations of the sample size for the sequencing
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Potential role of CYP1B1 in the development and treatment of metabolic diseases
489 In addition, machine learning models can predict patients responses to specific drug combinations on the basis of their individual characteristics, such as mutation profiles and protein expression profiles, thereby providing a basis for personalized treatment
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