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相关概念视频

Phylogenetic Trees03:21

Phylogenetic Trees

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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Evolutionary Relationships through Genome Comparisons02:54

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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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Phylogeny01:23

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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Survival Tree01:19

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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The Tree of Life - Bacteria, Archaea, Eukaryotes02:40

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The “tree of life” describes the evolution of life and the evolutionary relationships between organisms. The root of the tree is the common ancestor to all life on Earth. All other species radiate from this point, much like the branches of a tree. The numerous tips of these branches on the tree of life represent every living, or extant, species. Extinct species, which are species that no longer exist, can be found towards the center of the tree. Currently, these organisms, both...
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相关实验视频

Updated: Sep 9, 2025

A Practical Guide to Phylogenetics for Nonexperts
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使用神经网络和集体学习从基因树进行参数估计

Tianjian Qin1, Koen J van Benthem1, Luis Valente1,2

  • 1Groningen Institute for Evolutionary Life Sciences, University of Groningen, Nijenborgh 7, Groningen, 9747 AG, The Netherlands.

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|September 3, 2025
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概括
此摘要是机器生成的。

这项研究引入了一个集合神经网络,以估计从基因树的物种多样化率,为许多场景提供了更快,更少偏差的最大概率估计 (MLE) 替代方案.

关键词:
图形神经网络机器学习经常性神经网络退行情况

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Last Updated: Sep 9, 2025

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科学领域:

  • 进化生物学
  • 计算生物学
  • 遗传学

背景情况:

  • 物种多样化是由物种化和灭绝驱动的.
  • 从字型来估计这些比例至关重要,但具有挑战性.
  • 目前的最大概率估计 (MLE) 方法在复杂的模型和小族系方面存在局限性.

研究的目的:

  • 开发和评估一种新的集合神经网络方法,用于估计从家族遗传树的多样化参数.
  • 将神经网络方法的性能与MLE和现有的深度学习方法进行比较.
  • 评估神经网络在处理基因数据方面的稳定性.

主要方法:

  • 一个集体神经网络结合了密集的神经网络,图形神经网络和循环神经网络.
  • 网络从图表表示,分支时间和族群统计总结中学习.
  • 使用模拟的遗传学数据对MLE和卷积网络方法进行了性能评估.

主要成果:

  • 集合神经网络提供比MLE更快的估计,并且对恒定速率和多样性依赖模型的树大小敏感度较低.
  • 它的性能与现有的卷积网络方法相提并论.
  • 在延长的出生死亡过程中,神经网络方法和MLE都难以恢复参数.

结论:

  • 整体神经网络是MLE的一个有希望的,更快,更不偏的替代方案,用于估计多元化参数,特别是当MLE不可行时.
  • 生殖系大小和进化信号的强度是准确参数估计的关键限制.
  • 当足够的基因信号存在时,该方法表现良好.