RobustCCC:用于细胞间通信方法的稳定性评估工具
Chenxing Zhang1, Lin Gao1, Yuxuan Hu1
1School of Computer Science and Technology, Xidian University, Xi'an, China.
Frontiers in genetics
|August 7, 2023
概括
RobustCCC评估了细胞-细胞通信 (CCC) 推断工具,发现方法的性能与输入数据有很大差异. 该工具有助于选择可靠的CCC方法来分析组织微环境.
科学领域:
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 细胞-细胞通信 (CCC) 推断在单细胞数据分析中至关重要.
- 对于CCC推断,有许多计算工具存在,但它们的稳定性尚未得到充分理解.
研究的目的:
- 开发RobustCCC,一个用户友好的工具来评估CCC推理方法的稳定性.
- 对数据复制,噪声和先前知识变异进行CCC方法性能评估.
主要方法:
- 整合了14种最先进的CCC方法.
- 用6个模拟的单细胞转录组学数据集进行评估.
- 生成表格式报告,详细说明强度性能.
主要成果:
- 在各种模拟数据集中,CCC方法的稳定性显著不同.
- 输入数据特征强烈影响推断的CCC模式.
- 在方法性能中发现的变异性突显了对稳定性评估的需求.
结论:
- RobustCCC提供了一个可扩展的平台,用于评估和比较CCC推断工具.
- 该工具有助于选择稳定和一致的CCC方法用于组织微环境分析.
- 促进了明智的选择,以进行牢固的细胞-细胞通信识别.
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