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

You might also read

Related Articles

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

Sort by
Same author

Predictive ability of the Hammersmith Neonatal Neurological Examination for identifying severe neurodevelopmental impairment in infants born very preterm.

Developmental medicine and child neurology·2026
Same author

Recent Progress in Anion Exchange Membrane Water Electrolysis: From Membrane Materials to System Components.

Membranes·2026
Same author

Facilitating structure-based drug discovery with an artificial intelligence-driven virtual screening platform.

Nature protocols·2026
Same author

Generation and evaluation of an EcoHIV mouse model to study HIV-1 integration and expression.

Virology·2026
Same author

CME-KGDTI: integrating clustered mutations into knowledge graph embedding for drug-target interaction prediction.

BioData mining·2026
Same author

Optimizing urban avian conservation through multi-scenario network simulation in high-density cities: Integrating public preferences to identify critical stepping-stones.

Journal of environmental management·2026
Same journal

Heterojunction-Enhanced Interfacial Evanescent-Tunable Fiber Optic Probe for Amplification-free CRISPR/Cas12a-Based Rapid and Ultrasensitive Detection of MPXV.

Analytical chemistry·2026
Same journal

Tunable Charge Transfer in Europium Metal-Organic Frameworks for Ratiometric Sensing of a Sarin Simulant.

Analytical chemistry·2026
Same journal

A β-Cyclodextrin/Ag<sub>2</sub>O@MWCNT-Based Stochastic Platform for the Simultaneous Molecular Enantiorecognition and Enantioanalysis of Twelve Amino Acids in Biological Matrices.

Analytical chemistry·2026
Same journal

The ACS at 150: The History of Analytical Chemistry Publications and a Century of Progress.

Analytical chemistry·2026
Same journal

Machine Learning-Enabled Image Analysis of Complex Chemical Mixtures: Synthetic Urine Droplets as a Test System.

Analytical chemistry·2026
Same journal

H<sub>2</sub>O<sub>2</sub>/Viscosity Tandem-Locked Fluorescent Probes Based on an In Situ Fluorophore Synthesis Strategy for Colitis Imaging and Diagnosis.

Analytical chemistry·2026
See all related articles

Related Experiment Video

Updated: Jul 5, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
11:02

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

539

MultiClassMetabo: A Superior Classification Model Constructed Using Metabolic Markers in Multiclass Metabolomics.

Qingxia Yang1,2, Shuman Chen2, Wenyu Jiang2

  • 1Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.

Analytical Chemistry
|January 15, 2024
PubMed
Summary
This summary is machine-generated.

MultiClassMetabo identifies key metabolic markers and builds superior classification models for multiclass metabolomics. This tool aids in uncovering biological insights from complex sample data.

More Related Videos

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.4K
Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis
11:25

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Published on: July 11, 2014

33.7K

Related Experiment Videos

Last Updated: Jul 5, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
11:02

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

539
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.4K
Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis
11:25

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Published on: July 11, 2014

33.7K

Area of Science:

  • Metabolomics
  • Bioinformatics
  • Machine Learning

Background:

  • Multiclass metabolomics is crucial for understanding biological mechanisms and sample differences.
  • Identifying metabolic markers and classifying samples are key challenges in multiclass metabolomics.
  • Existing methods for classification and marker identification lack a clear superior approach for complex datasets.

Purpose of the Study:

  • To develop MultiClassMetabo, a novel online tool for constructing superior classification models in multiclass metabolomics.
  • To provide integrated services for metabolic marker identification, classification model construction, and comprehensive assessment.

Main Methods:

  • Utilizes marker identification methods to pinpoint significant metabolic markers.
  • Employs various classification methods to build predictive models.
  • Performs comprehensive assessments to select the most effective classification strategy.

Main Results:

  • MultiClassMetabo enables the construction of superior classification models tailored to specific multiclass metabolomic datasets.
  • The tool facilitates a systematic approach to analyzing complex biological samples.
  • Offers a valuable complement to existing bioinformatics tools for metabolomics research.

Conclusions:

  • MultiClassMetabo effectively constructs superior classification models by selecting the most appropriate methods through comprehensive evaluation.
  • The tool enhances the interpretability of biological information from multiclass metabolomic data.
  • Provides a user-friendly platform for advancing multiclass metabolomics research and discovery.