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Showing 1–3 of 3 results
Advanced filters: Author: Bicna Song Clear advanced filters

  • In two independent studies, Song et al. and Jiang, Dalgarno et al. present computational frameworks, perturbation-response score and Mixscale, respectively, to determine individual cellular variation in response to perturbation.

    • Bicna Song
    • Dingyu Liu
    • Wei Li
    ResearchOpen Access
    Nature Cell Biology
    Volume: 27, P: 493-504

  • GSFA is a statistical model to automatically detect latent factors (or gene modules) in single-cell CRISPR screening.

    • Bicna Song
    • Wei Li
    News & Views
    Nature Methods
    Volume: 20, P: 1629-1630

  • CRISPR screening is a high-throughput approach for identifying genes, pathways and mechanisms involved in a given phenotype or biological process. High-content read-outs of these screens, such as imaging and single-cell sequencing techniques, have further broadened its applicability. This Primer by Bock et al. describes the main concepts of CRISPR screening and gives examples of its application as a method for biological discovery, with a focus on the use of high-content read-outs.

    • Christoph Bock
    • Paul Datlinger
    • Xiaowei Zhuang
    Reviews
    Nature Reviews Methods Primers
    Volume: 2, P: 1-23