Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

DNA Packaging

DNA Packaging

Chromatin Packaging

Chromatin Packaging

Each human somatic cell contains 6 billion base pairs of DNA. Each base pair is 0.34 nm long, meaning each diploid cell contains a staggering 2 meters of DNA. This long DNA strand is packed inside a nucleus measuring only 10-20 microns in diameter with the help of specialized DNA-binding proteins called histones. Together they form a compact DNA-protein complex called chromatin. The chromatin is further compacted into higher-order structures. The highest level of compaction is achieved during...

Chromatin Packaging

Chromatin Packaging

Each human somatic cell contains 6 billion base-pairs of DNA. Each base-pair is 0.34 nm long, which means that each diploid cell contains a staggering 2 meters of DNA. How is such a long DNA strand packed inside a nucleus measuring only 10 - 20 microns in diameter?
The chromatin
In combination with specialized DNA binding protein called Histones, the DNA double helix forms a compact DNA: protein complex called chromatin. The chromatin itself is further compacted into higher-order...

Chromatin Packaging

Chromatin Packaging

Fixed Action Patterns

Fixed Action Patterns

A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.

Patterns of Fever

Patterns of Fever

Before understanding the types and patterns of fever, it is essential to know its phases.

You might also read

Related Articles

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

Sort by

Same author

Gene expression profiling of whole blood samples following marathon running in non-elite athletes.

Biology of sport·2026

Same author

Gene expression integration and similarity score-based modeling improve risk stratification in idiopathic venous thrombophilia.

Journal of thrombosis and haemostasis : JTH·2026

Same author

Phenotypic clustering of newly diagnosed type 2 diabetes in a Mediterranean cohort.

Cardiovascular diabetology·2026

Same author

singIST: An integrative method for comparative single-cell transcriptomics between disease models and humans.

PLoS computational biology·2026

Same author

Rare coding variants in CHRNB3 associate with reduced daily cigarette smoking across ancestries.

Nature communications·2026

Same author

Proof of concept for an age- and inflammation-adjusted model for the establishment of pediatric serum copper reference intervals.

Clinical nutrition (Edinburgh, Scotland)·2026

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026

Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026

Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026

Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026

Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 31, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

Multiview: a software package for multiview pattern recognition methods.

Samir Kanaan-Izquierdo^1,2,3, Andrey Ziyatdinov⁴, Maria Araceli Burgueño⁵

¹Centre de Recerca en Enginyeria Biomèdica, Universitat Politècnica de Catalunya, Barcelona, Spain.

Bioinformatics (Oxford, England)

|January 1, 2019

Summary

This summary is machine-generated.

New multiview pattern recognition methods for multi-omics data analysis improve clustering and dimensionality reduction. These novel computational tools offer enhanced insights compared to traditional single-view approaches.

More Related Videos

Monitoring Activation of the Antiviral Pattern Recognition Receptors RIG-I And PKR By Limited Protease Digestion and Native PAGE

Monitoring Activation of the Antiviral Pattern Recognition Receptors RIG-I And PKR By Limited Protease Digestion and Native PAGE

Published on: July 29, 2014

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

Published on: January 26, 2019

Related Experiment Videos

Last Updated: Jan 31, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

Monitoring Activation of the Antiviral Pattern Recognition Receptors RIG-I And PKR By Limited Protease Digestion and Native PAGE

Monitoring Activation of the Antiviral Pattern Recognition Receptors RIG-I And PKR By Limited Protease Digestion and Native PAGE

Published on: July 29, 2014

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

Published on: January 26, 2019

Area of Science:

Bioinformatics
Computational Biology
Pattern Recognition

Background:

Multiview datasets, common in bioinformatics as multi-omics data, integrate information from multiple experiments or feature sets for the same subjects.
Existing pattern recognition methods often lack robust multiview extensions, limiting their application in complex biological data analysis.

Purpose of the Study:

To introduce novel multiview extensions of established pattern recognition techniques for enhanced data analysis.
To provide accessible implementations of these advanced computational methods.

Main Methods:

Development of three multiview dimensionality reduction techniques: multiview t-distributed stochastic neighbour embedding, multiview multidimensional scaling, and multiview minimum curvilinearity embedding.
Implementation of a multiview spectral clustering method.
Evaluation of proposed methods on four distinct multiview datasets.

Main Results:

The proposed multiview methods frequently outperform their single-view counterparts in data analysis tasks.
Demonstrated improvements in clustering and dimensionality reduction for multi-omics data.

Conclusions:

Multiview pattern recognition methods offer significant advantages for analyzing complex biological datasets.
The developed methods provide valuable tools for researchers in bioinformatics and computational biology.