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相关概念视频

Survival Tree01:19

Survival Tree

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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.
 Building a Survival Tree
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Phylogenetic Trees03:21

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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

Phylogeny

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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 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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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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相关实验视频

Updated: Jun 9, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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纳税添加后的家族遗传树不稳定性:实证频率,可预测性和在线推断的后果

Lena Collienne1, Mary Barker1,2, Marc A Suchard3,4,5

  • 1Computational Biology Program, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.

Systematic biology
|October 25, 2024
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概括

在线的基因推断方法可能是不稳定的,新序列在近90%的案例中改变了现有的树拓. 机器学习可以预测和识别导致家族遗传树这种不稳定性的关键因素.

关键词:
最大的可能性.在线人科遗传学遗传学稳定性 遗传学稳定性税种的加法是一个税种的加法.

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科学领域:

  • 计算生物学 计算生物学
  • 人类遗传学 是一个学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 在线族系推断方法在没有重新计算完整的树木的情况下顺序添加新序列.
  • 当新种类被添加时,人们对类系的拓稳定性存在担忧.

研究的目的:

  • 在最大概率的基因推理中分析单个分类组的稳定性.
  • 通过机器学习研究拓不稳定的可预测性.

主要方法:

  • 在1000个经验数据集中分析单个分类的加法稳定性,使用最大概率框架.
  • 假设不稳定的来源,并设计总结统计.
  • 使用机器学习 (随机森林) 和总结统计数据来预测不稳定性.

主要成果:

  • 在近90%的分析数据集中观察到树拓的不稳定性.
  • 拓变化更频繁地发生在树的遥远部分,其引导支持较低.
  • 机器学习模型成功预测了不稳定性,并确定了有影响力的特征.

结论:

  • 严格的插入仅在线的家族遗传推断可能不会产生全球最佳树木.
  • 允许微小的树木重新排列或接受接近最佳的解决方案可能是可行的替代方案.