Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

708
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
708
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

8.3K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
8.3K
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.8K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.8K
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

299
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
299
Bootstrapping01:24

Bootstrapping

670
The term "bootstrap" originated in the 19th century as a metaphor for self-improvement or achieving something independently, without external assistance. This concept extends to statistical bootstrapping, a self-contained method for estimating population parameters through resampling, even though it can be computationally intensive. Developed by the American statistician Dr. Bradley Efron in 1979, bootstrapping provides a robust way to perform inference when the original sample size is...
670
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

162
Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
162

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

ROS-responsive bio-hybrid probiotics for synergistic acute lung injury therapy.

Colloids and surfaces. B, Biointerfaces·2026
Same author

Integrative Transcriptomics and Machine Learning Identify Macrophage-Associated Biomarkers in Hypertrophic Cardiomyopathy.

International journal of molecular sciences·2026
Same author

Associations of job satisfaction and work-family conflict with turnover intention among nursing assistants in chinese long-term care: the mediating role of psychological health.

BMC health services research·2026
Same author

Celecoxib Mitigates Paclitaxel-Induced Peripheral Neuropathy Through Modulation of the COX-2/PGE2 Pathway in Rats.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

Enhancing floating debris detection in complex scenarios: a multi-scale refined RT-DETR approach.

Scientific reports·2026
Same author

Integrated Wireless Sensor System Featuring Liquid-Repellent Interfaces for Reliable Pressure Ulcer Monitoring.

ACS applied materials & interfaces·2026
Same journal

Emergence of invasive <i>Escherichia coli</i> pathobionts in gut microbiome promotes cancer stemness via targeting Hippo pathways.

Gut microbes·2026
Same journal

Microbiome and metabolites impact enteric and central nervous systems in ALS.

Gut microbes·2026
Same journal

Perinatal ampicillin exposure alters murine maternal fecal bile acid and acylcarnitine profiles.

Gut microbes·2026
Same journal

Identification of human DP8α regulatory T cell sub-populations reactive to health-associated anti-inflammatory gut commensals.

Gut microbes·2026
Same journal

Early antibiotic exposure and vaccine immune responses in preterm infants: potential sex-specific differences.

Gut microbes·2026
Same journal

Gut <i>Proteobacteria</i> glycine metabolism regulates neuroplasticity, motivation, and reinstatement of cocaine self-administration in mice.

Gut microbes·2026
Ver todos los artículos relacionados
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

Video Experimental Relacionado

Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K

mbSparse: un método de imputación basado en autoencoder para abordar la escasez de datos del microbioma

Changlu Qi1, Yiting Cai1, Guoyou He1

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, HL, China.

Gut microbes
|September 1, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos mbSparse, un algoritmo de aprendizaje profundo, para abordar la inflación cero en los datos del microbioma. Este método mejora significativamente la precisión de la imputación y mejora la detección de enfermedades en conjuntos de datos complejos.

Palabras clave:
El microbiomaaprendizaje profundoImputaciónla escasez

Más Videos Relacionados

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

13.0K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

16.2K

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

13.0K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

16.2K

Área de la Ciencia:

  • Investigación del microbioma
  • La bioinformática
  • Biología computacional

Sus antecedentes:

  • La microbiota intestinal juega un papel vital en la fisiología del huésped.
  • La alta escasez (numerosos ceros) en los datos del microbioma plantea desafíos analíticos significativos.
  • Los métodos existentes luchan con la imputación precisa de los datos escasos del microbioma.

Objetivo del estudio:

  • Desarrollar un nuevo algoritmo basado en el aprendizaje profundo, mbSparse, para la imputación precisa de datos escasos del microbioma.
  • Evaluar el rendimiento de mbSparse en comparación con los métodos existentes.
  • Evaluar la utilidad de mbSparse en el análisis del cáncer colorrectal.

Principales métodos:

  • Desarrolló mbSparse, un algoritmo de imputación que utiliza un autoencoder de características y un autoencoder variacional condicional (CVAE).
  • Aprovechó el aprendizaje profundo para aprender representaciones de muestras y reconstrucción de datos.
  • Se aplicó mbSparse a conjuntos de datos de microbiomas simulados y reales, incluidos los datos de cáncer colorrectal.

Principales resultados:

  • mbSparse logró una precisión de imputación superior, reduciendo el error cuadrado medio hasta en 4,1 en comparación con los métodos existentes.
  • En el análisis del cáncer colorrectal, mbSparse aumentó la detección de taxones asociados a la enfermedad de 7 a 27 y mejoró la precisión predictiva (AUC de 0,85 a 0,93).
  • mbSparse restauró efectivamente más del 88% de los recuentos eliminados, preservando las relaciones taxonómicas con una correlación de Pearson de 0,9354.

Conclusiones:

  • mbSparse ofrece una poderosa solución de aprendizaje profundo para la imputación precisa de datos del microbioma, superando los desafíos planteados por la escasez de datos.
  • El componente CVAE es crucial para la precisión mejorada de mbSparse.
  • mbSparse mejora los conocimientos biológicos y el poder predictivo en estudios de enfermedades asociadas al microbioma.