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Showing 1–3 of 3 results
Advanced filters: Author: Matthew G. Wereski Clear advanced filters
  • Rare cells are often biologically and clinically important, but their low abundance makes them challenging to study using single-cell transcriptomics. Here, the authors develop PURE-seq which integrates FACS and PIP-seq to directly sequence ultra-rare cells. It captures cells at 1 in 1,000,000 rarity, which the authors demonstrate by profiling circulating tumor cells and identifying Egr1 as a regulator of mouse hematopoietic stem cell aging.

    • Sixuan Pan
    • Inés Fernández-Maestre
    • Adam R. Abate
    ResearchOpen Access
    Nature Communications
    P: 1-15
  • A clinical decision support system for diagnosis of myocardial infarction, based on machine learning models that use a single measurement of high-sensitivity troponin, outperforms clinical guidelines that use fixed cardiac troponin thresholds for diagnosis.

    • Dimitrios Doudesis
    • Kuan Ken Lee
    • Stephen W. Smith
    ResearchOpen Access
    Nature Medicine
    Volume: 29, P: 1201-1210