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- W4312172548 abstract "Despite its wide-ranging benefits, whole-transcriptome or RNA exome profiling is challenging to implement in a clinical diagnostic setting. The Unified Assay is a comprehensive workflow wherein exome-enriched RNA-sequencing (RNA-Seq) assays are performed on clinical samples and analyzed by a series of advanced machine learning-based classifiers. Gene expression signatures and rare and/or novel genomic events, including fusions, mitochondrial variants, and loss of heterozygosity were assessed using RNA-Seq data generated from 120,313 clinical samples across three clinical indications (thyroid cancer, lung cancer, and interstitial lung disease). Since its implementation, the data derived from the Unified Assay have allowed significantly more patients to avoid unnecessary diagnostic surgery and have played an important role in guiding follow-up decisions regarding treatment. Collectively, data from the Unified Assay show the utility of RNA-Seq and RNA expression signatures in the clinical laboratory, and their importance to the future of precision medicine." @default.
- W4312172548 created "2023-01-04" @default.
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- W4312172548 date "2022-12-22" @default.
- W4312172548 modified "2023-09-25" @default.
- W4312172548 title "Maximizing Small Biopsy Patient Samples: Unified RNA-Seq Platform Assessment of over 120,000 Patient Biopsies" @default.
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- W4312172548 doi "https://doi.org/10.3390/jpm13010024" @default.
- W4312172548 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36675685" @default.
- W4312172548 hasPublicationYear "2022" @default.
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