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Showing 1–3 of 3 results
Advanced filters: Author: Yaoyi Dai Clear advanced filters

  • Tumour heterogeneity has a substantial impact on tumour progression and treatment response, yet bulk expression data obtained from clinical tumour samples obscure this complexity. Computational deconvolution methods can resolve cell-type-specific signals. This Review offers a practical guide for cancer researchers to select deconvolution methods and maximize the utility of bulk transcriptomic data.

    • Yaoyi Dai
    • Shuai Guo
    • Wenyi Wang
    Reviews
    Nature Reviews Cancer
    Volume: 26, P: 84-103

  • Mutations in amyloid precursor protein (APP) and presenilin 1 (PSEN1) cause autosomal dominant AD (ADAD). Here, the authors perform single-nucleus RNA-sequencing of ADAD and other disease risk modifying variant carriers and report altered expression states of specific brain cell types.

    • Logan Brase
    • Shih-Feng You
    • Oscar Harari
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-19