Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Survival Tree01:19

Survival Tree

86
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
Constructing a...
86
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

1.6K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
1.6K
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

364
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
364
Types of Aggregate Grading01:15

Types of Aggregate Grading

511
Aggregate grading is crucial in economically obtaining a concrete mix with adequate strength, reasonable workability, and minimal segregation. There are four types of aggregate gradation: well-graded, uniformly (or one-sized) graded, gap-graded, and open-graded.
Well-graded aggregates include a complete range of necessary size fractions that fit together to create a dense matrix with minimal voids, represented by a smooth, continuous gradation curve. This type of grading ensures good...
511
Pedigree Analysis01:35

Pedigree Analysis

84.3K
Overview
84.3K
Ranks01:02

Ranks

236
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
236

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Unifying phylogenetic traversal and deep learning to guide tree exploration.

bioRxiv : the preprint server for biology·2026
Same author

Phylogenetic Tree Instability After Taxon Addition: Empirical Frequency, Predictability, and Consequences For Online Inference.

Systematic biology·2024
Same author

The Fossilized Birth-Death Model Is Identifiable.

Systematic biology·2024
Same author

Estimating the mean in the space of ranked phylogenetic trees.

Bioinformatics (Oxford, England)·2024
Same author

A fast lasso-based method for inferring higher-order interactions.

PLoS computational biology·2022
Same author

Testing for Phylogenetic Signal in Single-Cell RNA-Seq Data.

Journal of computational biology : a journal of computational molecular cell biology·2022
Same journal

Mathematical Modeling Shows that Overall Infection Burden is Reduced More by Vaccines that Decrease Spread or Accelerate Recovery than those that Lower Severe Infections or Death.

Bulletin of mathematical biology·2026
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
查看所有相关文章

相关实验视频

Updated: Jul 4, 2025

Scalable, Flexible, and Cost-Effective Seedling Grafting
09:33

Scalable, Flexible, and Cost-Effective Seedling Grafting

Published on: January 6, 2023

1.9K

排名子树 修剪和重新植入

Lena Collienne1, Chris Whidden2, Alex Gavryushkin3,4

  • 1Biological Data Science Laboratory, School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand. lena@lenacoll.de.

Bulletin of mathematical biology
|January 31, 2024
PubMed
概括
此摘要是机器生成的。

我们介绍了新的排名子树修剪和重新植入 (SPR) 树空间,用于分析遗传学时间树. 令人惊的是,添加叶子可以减少排名SPR距离,影响进化推理算法.

关键词:
人类遗传学 是一个学科.树木排名 树木排名时间树是时间树.树木重新排列 树木重新排列树木距离 树木距离树木的空间树木的空间.

更多相关视频

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K
A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
04:41

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

Published on: January 26, 2018

6.2K

相关实验视频

Last Updated: Jul 4, 2025

Scalable, Flexible, and Cost-Effective Seedling Grafting
09:33

Scalable, Flexible, and Cost-Effective Seedling Grafting

Published on: January 6, 2023

1.9K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K
A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
04:41

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

Published on: January 26, 2018

6.2K

科学领域:

  • 计算生物学 计算生物学
  • 进化生物学 进化生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 遗传学时间树模拟进化历史,对于理解病毒传播和癌症进化至关重要.
  • 重建时间树通常使用贝叶斯推理与马尔科夫链蒙特卡洛 (MCMC) 采样.
  • 现有的树重新排列操作,如子树修剪和重新植入 (SPR) 已得到很好的研究,但时间树变体的理解较少.

研究的目的:

  • 引入和研究基于排序子树修剪和重新植入 (SPR) 操作的新型树空间.
  • 分析这些新树空间中的算法属性,计算复杂性和距离.
  • 将这些新型树木空间与现有的树木重新排列空间进行比较.

主要方法:

  • 修改了对排列的家族遗传树应用的经典SPR重新排列操作.
  • 对算法属性的分析,专注于距离计算的复杂性.
  • 基于树木重新排列的树木空间与已建立的树木重新排列进行比较.

主要成果:

  • 基于排序SPR运算的两个新型树空间的引入.
  • 算法属性的表征,包括距离计算的复杂性.
  • 证明了反直觉的发现,即添加叶子可以减少排名的SPR距离.

结论:

  • 新定义的排名SPR树空间为分析时间树算法提供了一个框架.
  • 反直觉的距离属性对时间树采样有影响,特别是在不确定的种群中.
  • 对这些树木空间的进一步研究可以加强对遗传学推断方法的比较分析.