Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.0K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
1.0K
Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

344
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
344
Test for Homogeneity01:23

Test for Homogeneity

2.1K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.1K
Equivalent Resistance01:16

Equivalent Resistance

583
In circuit analysis, situations often arise where resistors are neither in series nor parallel configurations. To tackle such scenarios, three-terminal equivalent networks like the wye (Y) (Figure 1 (a)) or tee (T) and delta (Δ) (Figure 1 (b)) or pi (π) networks come into play. These networks offer versatile solutions and are frequently encountered in various applications, including three-phase electrical systems, electrical filters, and matching networks.
583
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

219
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
219
Wilcoxon Signed-Ranks Test for Median of Single Population01:14

Wilcoxon Signed-Ranks Test for Median of Single Population

223
The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
223

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetic and molecular mechanisms of hereditary thoracic aortic aneurysm and dissection (Review).

Molecular medicine reports·2026
Same author

Optimizing dual-active-site electrocatalysts for adsorption and hydrogenation for efficient nitrate-to-ammonia.

Journal of hazardous materials·2026
Same author

A CandiChrome toolkit for multicolor labeling of <i>Candida</i> cells.

bioRxiv : the preprint server for biology·2026
Same author

SNaQ.jl: Improved scalability for level-1 phylogenetic network inference.

Bioinformatics (Oxford, England)·2026
Same author

A New Model for Hepatitis C Elimination: CDC-Dispatching Follow-Up Coordinators Stationed in Hospitals.

Journal of viral hepatitis·2026
Same author

Ecological constraints and evolutionary trade-offs shape nitrogen fixation across habitats.

ISME communications·2026
Same journal

A Multi-Modal Framework for Phage-Host Interaction Prediction Using Multi-View Contrastive Learning.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Decoding Gene-Disease Associations with Computational Methods: A Survey.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Prediction of GO Terms Based on Partitioning PPI Networks into Highly Connected Components.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Modeling and Tracking of Heterogeneous Cell Populations via Open Multi-Agent Systems.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Parameter Efficient Deep Learning Models for Multi-Target Binding Affinity and hERG Cardiotoxicity Prediction.

IEEE transactions on computational biology and bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K

A Dissimilarity Measure for Semidirected Networks.

Michael Maxfield, Jingcheng Xu, Cecile Ane

    IEEE Transactions on Computational Biology and Bioinformatics
    |August 14, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Semidirected phylogenetic networks, a generalization of evolutionary trees, are formally defined. A novel edge-based dissimilarity measure is introduced, extending existing tree comparison methods and proving to be a true distance metric for specific network types.

    More Related Videos

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.4K
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.2K

    Related Experiment Videos

    Last Updated: Sep 11, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.6K
    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.4K
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.2K

    Area of Science:

    • Evolutionary Biology
    • Computational Biology
    • Network Theory

    Background:

    • Semidirected networks generalize unrooted trees in evolutionary biology.
    • These networks, with directed and undirected edges, lack comprehensive theoretical study.
    • Existing phylogenetic network models do not fully capture evolutionary processes involving both directed and undirected relationships.

    Purpose of the Study:

    • To formally define a general class of semidirected phylogenetic networks.
    • To develop a robust theoretical framework for analyzing these networks.
    • To introduce a novel dissimilarity measure for comparing semidirected phylogenetic networks.

    Main Methods:

    • Definition of semidirected phylogenetic networks with stable leaves, tree nodes, and hybrid nodes.
    • Proof of stability for directed paths across different rooting choices.
    • Development of an edge-based representation for network comparison.
    • Computation of a novel dissimilarity measure in near-quadratic time.

    Main Results:

    • A general class of semidirected phylogenetic networks is formally defined.
    • The stability of directed paths is proven, regardless of rooting choices.
    • A novel edge-based dissimilarity measure for these networks is introduced.
    • This measure is shown to extend the Robinson-Foulds distance for trees.

    Conclusions:

    • The defined semidirected phylogenetic networks provide a suitable generalization for evolutionary studies.
    • The novel dissimilarity measure offers an efficient and accurate method for comparing these complex networks.
    • The edge-based dissimilarity is a valid distance metric on the space of tree-child semidirected phylogenetic networks.