scEGOT:基于热高斯混合物最佳运输的单细胞轨迹推断框架

Toshiaki Yachimura1, Hanbo Wang2, Yusuke Imoto3

  • 1Mathematical Science Center for Co-creative Society, Tohoku University, Sendai, 980-0845, Japan. toshiaki.yachimura.a4@tohoku.ac.jp.

BMC bioinformatics
|December 22, 2024
PubMed
概括

scEGOT是单细胞轨迹推断的新框架,提供了高可解释性和低计算成本. 它确定了NKX1-2,MESP1和GATA6等关键基因,这些基因对于原始生殖细胞类细胞分化至关重要.

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