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

Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.8K
The Scientific Method03:50

The Scientific Method

67.6K
Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion. 
67.6K
The Scientific Method01:32

The Scientific Method

268.3K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
268.3K
Nursing Evaluation01:15

Nursing Evaluation

4.4K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
4.4K
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

322
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
322
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

383
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
383

You might also read

Related Articles

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

Sort by
Same author

Advance Monitoring of COVID-19 Incidence Based on Taxi Mobility: The Infection Ratio Measure.

Healthcare (Basel, Switzerland)·2024
Same author

PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19.

Studies in health technology and informatics·2023
Same author

Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining.

Nutrients·2021
Same author

Deep Learning Techniques to Improve the Performance of Olive Oil Classification.

Frontiers in chemistry·2020
Same author

Analysis of the Microstructure and Mechanical Properties of Titanium-Based Composites Reinforced by Secondary Phases and B₄C Particles Produced via Direct Hot Pressing.

Materials (Basel, Switzerland)·2017
Same author

Analysis of the Influence of Starting Materials and Processing Conditions on the Properties of W/Cu Alloys.

Materials (Basel, Switzerland)·2017
Same journal

Interpretable machine learning for Parkinson's disease diagnosis, staging, and biological mechanism exploration: a multicenter analysis.

BioData mining·2026
Same journal

Learning a distance for the clustering of patients with amyotrophic lateral sclerosis.

BioData mining·2026
Same journal

Multi-domain feature fusion with variational mode decomposition and hybrid LightGBM-Logistic Regression for multi-class seizure classification.

BioData mining·2026
Same journal

Large-scale transcriptomic data mining using explainable XGBoost and SHAP reveals shared biomarkers and molecular mechanisms between type-2 diabetes and triple-negative breast cancer for drug repurposing.

BioData mining·2026
Same journal

AVSeg-XAI: Deep learning framework for A/V segmentation with vascular features reveals retinal oculomics as biomarker for cardiovascular disease.

BioData mining·2026
Same journal

Navigating the uncharted: AI-driven advances in protein structure, dynamics, interactions and ligand interactions for understudied families.

BioData mining·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
05:42

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

3.7K

TRIQ: a new method to evaluate triclusters.

David Gutiérrez-Avilés1, Raúl Giráldez1, Francisco Javier Gil-Cumbreras1

  • 11School of Engineering, Pablo de Olavide University, Seville, Spain.

Biodata Mining
|August 22, 2018
PubMed
Summary
This summary is machine-generated.

Triclustering analysis is enhanced by TRIQ, a novel measure combining correlation, graphic similarity, and Gene Ontology functional annotation. This simplifies evaluating tricluster solutions from algorithms like TriGen and OPTricluster.

Keywords:
Biological qualityCorrelationGenetic algorithmsGraphical qualityQuality measureTriclustering

More Related Videos

Functional and Physiological Methods of Evaluating Median Nerve Regeneration in the Rat
12:09

Functional and Physiological Methods of Evaluating Median Nerve Regeneration in the Rat

Published on: April 18, 2020

13.0K
Methods to Evaluate Cytotoxicity and Immunosuppression of Combustible Tobacco Product Preparations
09:25

Methods to Evaluate Cytotoxicity and Immunosuppression of Combustible Tobacco Product Preparations

Published on: January 10, 2015

11.9K

Related Experiment Videos

Last Updated: Feb 6, 2026

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
05:42

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

3.7K
Functional and Physiological Methods of Evaluating Median Nerve Regeneration in the Rat
12:09

Functional and Physiological Methods of Evaluating Median Nerve Regeneration in the Rat

Published on: April 18, 2020

13.0K
Methods to Evaluate Cytotoxicity and Immunosuppression of Combustible Tobacco Product Preparations
09:25

Methods to Evaluate Cytotoxicity and Immunosuppression of Combustible Tobacco Product Preparations

Published on: January 10, 2015

11.9K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Mining

Background:

  • Triclustering is an advanced technique for microarray data analysis, improving upon clustering and biclustering.
  • Current tricluster validation relies on separate measures: correlation, graphic similarity, and Gene Ontology (GO) functional annotation.

Purpose of the Study:

  • To introduce TRIQ, a unified measure for evaluating tricluster solutions.
  • To simplify the comparison and selection of tricluster results.

Main Methods:

  • TRIQ was developed by integrating correlation, graphic pattern similarity, and GO functional annotation into a single metric.
  • TRIQ was applied to analyze three existing microarray datasets previously evaluated using individual measures.
  • Triclusters were generated using TriGen and OPTricluster algorithms.

Main Results:

  • TRIQ successfully replicated the outcomes of the three individual validation measures.
  • TRIQ demonstrated its utility in quantitatively comparing results from different triclustering algorithms, such as TriGen and OPTricluster.
  • The measure proved effective in summarizing the quality of tricluster solutions.

Conclusions:

  • TRIQ offers a consolidated and straightforward approach to tricluster solution evaluation.
  • The measure is adaptable for assessing non-biological triclusters due to its customizable components.
  • TRIQ facilitates quantitative comparisons between results from diverse triclustering algorithms.