Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Ranks01:02

Ranks

523
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...
523
Survival Tree01:19

Survival Tree

445
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...
445
Phylogenetic Trees03:21

Phylogenetic Trees

50.2K
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.
50.2K
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

254
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
254
Network Function of a Circuit01:25

Network Function of a Circuit

941
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
941
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

505
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
505

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Predicting the depth of the most recent common ancestor of a random sample of k species: the impact of phylogenetic tree shape.

Journal of mathematical biology·2026
Same author

A Dichotomy Law for Certain Classes of Phylogenetic Networks.

Bulletin of mathematical biology·2025
Same author

Asymptotic Enumeration of Normal and Hybridization Networks via Tree Decoration.

Bulletin of mathematical biology·2025
Same author

"A mathematical theory of evolution": phylogenetic models dating back 100 years.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
Same author

Neutral phylogenetic models and their role in tree-based biodiversity measures.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
Same author

Transformations to Simplify Phylogenetic Networks.

Bulletin of mathematical biology·2025

Video Experimental Relacionado

Updated: Feb 22, 2026

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

1.6K

Clasificaciones de conteo de las redes árbol-hijo.

Qiang Zhang1, Mike Steel2

  • 1Biomathematics Research Center, School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.

Bulletin of mathematical biology
|February 21, 2026
PubMed
Resumen

Este estudio cuenta los ordenamientos temporales de los eventos evolutivos en las redes árbol-hijo, que modelan la evolución de las especies. Exploramos las redes relacionadas con los rankings y proporcionamos fórmulas para su número esperado.

Palabras clave:
El algoritmo del algoritmo.Enumeración de las Enumeraciones.La red filogenética es una red filogenética.Rankings Rankings Las clasificaciones.

Más Videos Relacionados

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
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

4.9K

Videos de Experimentos Relacionados

Last Updated: Feb 22, 2026

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

1.6K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
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

4.9K

Área de la Ciencia:

  • Biología evolutiva Biología evolutiva.
  • La filogenética computacional es filogenética computacional.
  • Teoría de la red Teoría de la red Teoría de la red Teoría de la red Teoría de la red Teoría de la red

Sus antecedentes:

  • Las redes filogenéticas enraizadas modelan la historia evolutiva de las especies, incluida la especiación y la hibridación.
  • Las redes árbol-hijo son una clase bien estudiada de redes filogenéticas.
  • Las clasificaciones representan ordenamientos temporales de eventos en estas redes.

Objetivo del estudio:

  • Investigar métodos para contar las clasificaciones en redes de árbol-hijo binarias y semi-binarias.
  • Para explorar la relación entre las redes de árbol-hijo clasificables y normales.
  • Para derivar una expresión asintótica para el número esperado de clasificaciones en redes árbol-hijo elegidas al azar.

Principales métodos:

  • Análisis combinatorio de las estructuras de la red árbol-hijo.
  • Investigación de las propiedades de la red relacionadas con el ordenamiento de eventos.
  • Análisis asintótico para conjuntos aleatorios de redes.

Principales resultados:

  • Un método para contar las clasificaciones en cualquier red de árbol-hijo dada.
  • Caracterización de la relación entre redes clasificables y redes normales.
  • Una fórmula asintótica explícita para el número esperado de clasificaciones.

Conclusiones:

  • El estudio proporciona herramientas para cuantificar el ordenamiento de eventos evolutivos en complejas redes filogenéticas.
  • La comprensión de las clasificaciones de redes ofrece información sobre los procesos evolutivos.
  • Las fórmulas derivadas facilitan el análisis teórico de la evolución de la red filogenética.