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Environments Tune and Select Cellular Diversity
Trends in Immunology ( IF 16.8 ) Pub Date : 2017-07-31 00:00:00 , DOI: 10.1016/j.it.2017.07.006
Brian A. Kidd

Technical advances in single-cell sequencing data and their application to greater samples is revealing substantial cell-to-cell variation in expression levels and propagation of this variation between molecules across cells. New quantitative approaches that apply mechanistic and statistical models in a systems-wide approach are illuminating the drivers of phenotypic diversity.

中文翻译:

环境调整和选择细胞多样性

单细胞测序数据的技术进步及其在更大样本中的应用表明,表达水平之间存在着巨大的细胞间差异,并且这种差异在分子之间跨细胞传播。在系统范围的方法中应用机械和统计模型的新定量方法正在阐明表型多样性的驱动因素。
更新日期:2017-09-20
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