路径探测器:一种新型的图形变压器模型,用于推断多细胞细胞内和细胞间的信号通道和通信通道
Jiarui Feng1,2, Michael Province3, Guangfu Li4,5,6
1Institute for Informatics (I2), Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
bioRxiv : the preprint server for biology
|January 31, 2024
概括
一种新的图形变压器模型PathFinder破译了阿尔茨海默病 (AD) 微环境中的复杂细胞信号网络. 它识别了新的APOE4改变的细胞相互作用,有助于治疗点的发现.
科学领域:
- 计算生物学是一种计算生物学.
- 神经科学是一个神经科学.
- 基因组学就是基因组学.
背景情况:
- 阿尔茨海默氏症 (AD) 病原发生涉及复杂的微环境信号.
- 单细胞RNA测序 (scRNA-seq) 产生了大量的数据集,以理解细胞通信.
- 从scRNA-seq数据推断复杂的细胞内和细胞间信号网络仍然具有挑战性.
结论:
- 在疾病背景下,PathFinder提供了一种强大的方法来剖析复杂的细胞-细胞通信.
- 该模型是可概括的,适用于用于信号网络推断的各种omics数据.
- 这些发现有助于理解AD机制,并确定潜在的治疗策略.
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