,

Sebastiano Cultrera di Montesano1, Davide D'Ascenzo2,3, Srivatsan Raghavan4,5,6,7

  • 1Broad Institute of MIT and Harvard, Cambridge, MA, USA. scultrer@broadinstitute.org.

PubMed
概括

我们开发了一个层次的交叉损失,以改善单细胞RNA测序 (scRNA-seq) 数据中的细胞类型注释. 这种方法在不增加计算成本的情况下提高了对新数据的模型性能,强调了数据生成对算法概括性的重要性.

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