TransBic:用于寻找本地和可解释的表达模式的桶趋势保护双聚类.
Jing Li1,2, Qinglin Mei3, Chaoxia Yang4
1Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, No. 72 Binhai Road, Jimo Distinct, Qingdao 266237, Shandong, China.
Briefings in bioinformatics
|February 5, 2025
概括
TransBic 引入了一种新的桶趋势保存 (BTP) 模式,用于分析基因表达数据. 这种方法通过保留特定模式,提高在噪音条件下的准确性和识别与疾病相关的途径来增强双聚类.
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
- 基因组学就是基因组学.
背景情况:
- 双聚类分析高维表达数据,以找到共同表达模式.
- 目前的方法失去了特定的模式信息,并与杂的数据作斗争.
- 确定特定模式对于疾病亚型和进展研究至关重要.
研究的目的:
- 为了解决现有的双重集群方法的局限性.
- 引入一种新的模式概括,称为桶趋势保护 (BTP) 模式.
- 开发一个算法,TransBic,用于提取BTP模式.
主要方法:
- TransBic将双集群提取转换为在锦标赛二图中找到共同的子图.
- 该方法从表达式矩阵中导出非循环锦标赛二图.
- 它确定了共享的多方非循环锦标赛子图.
主要成果:
- 在识别双重集群方面,TransBic的性能优于现有的工具,特别是在噪音下非行恒定模式.
- 该算法成功地识别了2型糖尿病,结直肠癌,肝细胞癌和乳腺癌的与疾病相关的途径.
- 与以前的方法不同,BTP模式捕获了特定的基因上调和下调动态.
结论:
- TransBic提供了一种强大的双重集群方法,保留关键的模式信息.
- 该方法通过准确识别与疾病相关的途径,改善了复杂疾病的分析.
- TransBic扩展了趋势维护的双聚类应用,揭示了受疾病风险因素影响的生物过程.
相关概念视频
Predicting Molecular Geometry
VSEPR Theory for Determination of Electron Pair Geometries
Conserved Binding Sites
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Conserved Binding Sites
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Polymer Classification: Stereospecificity
Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
¹H NMR Signal Multiplicity: Splitting Patterns
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
BIBO stability of continuous and discrete -time systems
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.


