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从空间解析的转录学数据中推断细胞间通信,使用贝叶斯式Tweedie模型

Dongyuan Wu¹, Jeremy T Gaskins², Michael Sekula²

¹Department of Biostatistics, University of Florida, Gainesville, FL 32603, USA.

|July 29, 2023

概括

我们开发了一种新的统计模型,以了解细胞如何使用空间解析的转录学数据进行通信. 我们的方法,BATCOM,准确地绘制了细胞-细胞信号和体-受体相互作用.

科学领域:

计算生物学计算生物学
系统生物学系统生物学
基因组学就是基因组学.

背景情况:

细胞通信对生物功能至关重要,但目前的单细胞测序缺乏空间背景.
分析细胞间通信的现有方法往往缺乏统计学严谨性和空间分辨率.

研究的目的:

开发一种统计学上可靠的方法,从空间解析的转录组学数据中推断细胞-细胞通信.
通过结合空间信息和提供定向通信见解来解决现有方法的局限性.

主要方法:

提出了一种通用线性回归模型,即巴西安·特维迪对通信 (BATCOM) 的建模.
利用空间解析的转录学数据,特别是基于现场的数据.
估计的通信得分,考虑到细胞类型的距离和连接体-受体相互作用.

主要成果:

BATCOM提供了准确可靠的推断细胞-细胞通信.
该模型自然地决定了细胞类型之间的通信方向.
与现有算法相比,模拟研究和实际数据应用证明了BATCOM的优越性能.

结论:

BATCOM提供了一种创新的解决方案,可以从空间转录组学中推断细胞之间的通信.
该方法填补了理解生物机制的关键差距,通过提供定向和相互作用特定的沟通见解.
BATCOM为复杂的生物系统提供了可靠而简单的结果.

关键词:

贝叶斯模型是贝叶斯模型.推特发行推特发行蜂通讯蜂通讯是指蜂通讯的形式.一般化的线性回归模型.空间转录学空间转录学

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