IceQream:使用物理TF模型进行定量染色体可访问性分析
Akhiad Bercovich1,2, Aviezer Lifshitz1,2, Michal Eldar1,2
1Weizmann Institute of Science, Department of Computer Science and Applied Mathematics, Rehovot, Israel.
Nature communications
|October 9, 2025
概括
我们开发了IceQream (IQ),这是一种使用转录因子结合的物理模型来预测DNA序列的基因调节的新方法. 智商为深度学习提供了一种机械和可解释的替代方案,实现了可比性能.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
背景情况:
- 单细胞测序揭示了染色体可访问性模式,改善了从DNA序列的表观遗传学预测.
- 目前的定量模型缺乏可解释的组成部分来解释表观基因组.
- 从序列来预测表观基因组活动的建模是一个活跃的研究领域.
研究的目的:
- 开发一种新的建模策略和推理算法,用于从序列回归可访问性,使用转录因子 (TF) 结合的物理模型.
- 创建一个机械和可解释的基线,以了解基因和基因组从序列调节.
- 推断TF有效度及其相互作用.
主要方法:
- IceQream (IQ) 采用了跨TF-DNA亲属性和相对于目标位置的定位的序列的空间集成.
- IQ将TF有效度推断为潜在变量,模拟调节元件的非线性激活/抑制.
- 结合了协同和对抗的双对TF相互作用.
主要成果:
- 在人类和小鼠数据上,智商表现出与最先进的深度神经网络模型相当或优于其性能.
- 该模型成功地推断了TF的有效度及其相互作用.
- 智商为表观基因组建模提供可解释的组件.
结论:
- 智商提供了一种机械和可解释的方法,用于从序列中建模表观基因组活动.
- 这种方法可以作为基因调节未来研究的有价值的基线.
- 智商提升了对DNA序列如何决定调节元件功能的理解.
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