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相关概念视频

What is Evolutionary History?02:35

What is Evolutionary History?

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Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
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The Evidence for Evolution02:55

The Evidence for Evolution

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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Eukaryotic Evolution01:24

Eukaryotic Evolution

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The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
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Evolutionary Psychology01:20

Evolutionary Psychology

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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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Convergent Evolution01:54

Convergent Evolution

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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...
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相关实验视频

Updated: Jun 29, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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重建网络复杂系统的演化历史.

Junya Wang1, Yi-Jiao Zhang2, Cong Xu2

  • 1School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.

Nature communications
|April 2, 2024
PubMed
概括

机器学习可以揭示复杂网络的历史形成,如社会和生态系统. 这揭示了关键的进化特征,并表明网络进化恢复是高度可行的.

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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科学领域:

  • 复杂系统科学 复杂系统科学
  • 网络科学 网络科学
  • 计算生物学 计算生物学
  • 机器学习 机器学习

背景情况:

  • 复杂系统的进化编码在它们的功能性质中.
  • 了解网络形成在各种科学领域至关重要.
  • 之前的理论难以集体解释网络进化特征.

研究的目的:

  • 提取网络复杂系统的历史形成过程.
  • 为了证明恢复进化过程的科学价值.
  • 调查网络进化恢复的可行性.

主要方法:

  • 机器学习算法的应用.
  • 分析各种网络系统 (例如,蛋白质与蛋白质相互作用,生态,社会网络).
  • 对模型性能与随机链接顺序对比的评估.

主要成果:

  • 成功提取了多种网络类型的进化过程.
  • 揭示了关键的共同进化特征:偏好的依恋,社区结构,局部聚类和度与度的相关性.
  • 证明高保真度恢复是可以实现的,ML模型略高于随机猜测.

结论:

  • 复杂网络的历史演变在很大程度上可以使用机器学习来恢复.
  • 恢复的进化过程提供了重要的科学见解和应用.
  • 网络进化恢复是经验网络的一般可行的方法.