通过相互信息的途径分析
Gustavo S Jeuken1,2, Lukas Käll1
1Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm 171 65, Sweden.
Bioinformatics (Oxford, England)
|January 10, 2024
概括
我们介绍了MIPath,这是一种使用信息理论的新途径分析方法. MIPath为单细胞数据提供了强大且可扩展的方法,避免了线性假设并提高了可重复性.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 系统生物学 系统生物学
背景情况:
- 途径分析将生物途径活动与表型差异联系起来.
- 现有的方法通常使用微分表达式分析和线性模型.
- 这些方法可能受到假设和缺少数据的脆弱性所限制.
研究的目的:
- 提出MIPath,一种新的信息理论路径分析方法.
- 为生物数据开发一种可扩展和假设轻度的方法.
- 完善单细胞欧米克数据的途径分析.
主要方法:
- 使用信息理论原则,特别是相互信息.
- 使用最近邻近方法构建路径数据点图.
- 在调整随机机会的同时,得分表型-路径关联.
主要成果:
- MIPath在单细胞数据集中展示了强度和可重复性.
- 该方法具有可扩展性,对缺失值的敏感性较小.
- 与现有方法相比,MIPath提供了有意义的途径活动得分.
结论:
- MIPath为路径分析提供了一个强大的新工具,特别是在单细胞数据方面.
- 它的信息理论基础减少了对限制性建模假设的依赖.
- 该方法增强了对生物途径及其与表型的关系的理解.
相关概念视频
Interactions Between Signaling Pathways
6.3K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
6.3K
Protein Networks
4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Epistasis Analysis
5.0K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.0K
Biostatistics: Overview
246
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
246
Evolutionary Relationships through Genome Comparisons
5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K


