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Protein Networks

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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,...
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Updated: Jul 11, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
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基于通过嵌入的拓评估的多层网络对齐.

Pietro Cinaglia1, Marianna Milano2, Mario Cannataro3

  • 1Department of Health Sciences, Magna Graecia University, 88100, Catanzaro, Italy. cinaglia@unicz.it.

BMC bioinformatics
|November 6, 2023
PubMed
概括

DANTEml是一个新的软件工具,用于多层网络的网络对齐 (NA). 它在对齐合成和现实世界的网络方面显著优于现有方法,提供可靠和统计验证的节点映射.

关键词:
嵌入式 嵌入式多层网络是多层网络.网络对齐 网络对齐网络分析 网络分析拓上的相似性 拓上的相似性

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科学领域:

  • 计算生物学 计算生物学
  • 网络科学 网络科学
  • 数据挖掘 数据挖掘

背景情况:

  • 多层网络模型复杂的系统与交互分布在各层.
  • 网络对齐 (NA) 映射网络之间的节点,以保持拓相似性,从而实现知识传输.
  • 现有的NA方法可能无法充分利用多层网络结构中的丰富信息.

研究的目的:

  • 介绍DANTEml,这是一个新的软件工具,用于对联全球网络对齐 (PGNA) 的多层网络.
  • 评估DANTEml在调整复杂网络数据方面的性能和可靠性.
  • 为研究人员提供一个用户友好的工具,用于多层网络分析.

主要方法:

  • DANTEml采用拓评估方法,使用来自两个多层网络的节点嵌入.
  • 它计算了一个相似性矩阵来识别和映射拓上相似的节点.
  • 该软件提供了一个命令行接口,用于参数输入的引导模式.

主要成果:

  • DANTEml在合成数据上显著超过非多层意识方法,高达1193.62%在合成数据上和4008.75%在真实数据上.
  • 它还显示了与时间NA方法相比的显著改善,分别为25.88%和111.72%.
  • 统计评估证实了DANTEml.ml生成的节点映射的意义和可靠性.

结论:

  • DANTEml是一个有效的软件工具,用于多层网络的PGNA.
  • 它为合成和现实世界的网络提供了统计验证和可靠的节点映射.
  • 该工具在复杂的网络对齐任务中表现出高性能和可靠性.