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English(EN) Integrating gene regulatory priors into Transformer attention with scTransformer for interpretable scRNA-seq analysis

scTransformer将基因调控数据整合到AI中用于细胞分析

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了scTransformer，一种将基因调控信息整合到Transformer模型中用于分析单细胞RNA测序数据的新方法。该方法通过将先验生物知识纳入模型的注意力机制，提高了可解释性和鲁棒性。评估表明，与标准Transformer相比，scTransformer提高了细胞类型分类的准确性，并产生了更具生物学意义的表示。 AI

影响 增强了基因组学中AI模型的可解释性，可能带来新的生物学发现。

排序理由 该集群包含一篇详细介绍特定科学领域新模型架构的研究论文。

在 arXiv cs.LG 阅读 →

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scTransformer将基因调控数据整合到AI中用于细胞分析

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Mikele Milia, Louis Fabrice Tshimanga, Henning Mueller, Manfredo Atzori, Barbara Di Camillo ·

    使用 scTransformer 将基因调控先验知识整合到 Transformer 注意力机制中，用于可解释的 scRNA-seq 分析

    arXiv:2606.09558v1 Announce Type: cross Abstract: Motivation: Transformer-based models are increasingly applied to large-scale single-cell transcriptomics, showing strong performance through self-supervised learning on millions of cells. However, most existing approaches treat ge…

  2. arXiv cs.LG TIER_1 English(EN) · Barbara Di Camillo ·

    将基因调控先验知识整合到Transformer注意力机制中，利用scTransformer进行可解释的scRNA-seq分析

    Motivation: Transformer-based models are increasingly applied to large-scale single-cell transcriptomics, showing strong performance through self-supervised learning on millions of cells. However, most existing approaches treat genes as independent features, and largely ignore pr…

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