1087-ProtoCloud：单细胞分析的可解释原型模型

ProtoCloud 是一种专为单细胞转录组分析设计的深度学习模型，能够实现高精度的细胞类型自动标注。该模型通过在潜在空间中建立细胞类型原型，不仅能有效分离生物特征与批次效应，还具备卓越的自解释性，可精准识别驱动分类决策的关键基因。研究表明，ProtoCloud 在处理稀少细胞类型和修正标注错误方面优于现有工具，并能通过内置的不确定性评估量化预测可信度。在针对视网膜神经元损伤和食管细胞图谱的实际应用中，它成功发现了新型细胞群体及关键生物标志物。总而言之，该技术为构建大规模、高可靠性的细胞图谱提供了一套透明且鲁棒的计算方案。References:* Guo K, Ding J. ProtoCloud: a Prototypical Self-explaining Model for Single-cell Analysis[J]. bioRxiv, 2026: 2026.02. 06.7...去小宇宙查看完整单集简介前往小宇宙评论区与主播互动

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ProtoCloud 是一种专为单细胞转录组分析设计的深度学习模型，能够实现高精度的细胞类型自动标注。该模型通过在潜在空间中建立细胞类型原型，不仅能有效分离生物特征与批次效应，还具备卓越的自解释性，可精准识别驱动分类决策的关键基因。研究表明，ProtoCloud...

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