scPerb:

Zijia Tang1, Minghao Zhou2, Kai Zhang3

  • 1Trinity College, Duke University, Durham, NC, USA.

PubMed
概括

预测细胞对干扰的反应在计算生物学中至关重要. 新的scPerb框架准确地分离和转移扰动差异,优于单细胞水平预测的现有方法.

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