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

Characteristics of Life01:23

Characteristics of Life

221.3K
Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
221.3K
Levels of Organization01:09

Levels of Organization

122.3K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
122.3K
Entropy within the Cell01:22

Entropy within the Cell

10.3K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
10.3K
Synthetic Biology02:55

Synthetic Biology

4.7K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.7K
What are Cells?01:07

What are Cells?

173.7K
Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...
173.7K
Structural Organization of the Human Body: An Overview01:18

Structural Organization of the Human Body: An Overview

13.1K
It is convenient to consider the body's structures in terms of fundamental levels of organization that increase in complexity: subatomic particles, atoms, molecules, organelles, cells, tissues, organs, organ systems, and organisms.
To study the chemical level of organization, scientists consider the simplest building blocks of matter: subatomic particles, atoms, and molecules. All matter in the universe is composed of one or more unique pure substances called elements, familiar examples of...
13.1K

You might also read

Related Articles

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

Sort by
Same author

Combining graphlets and random walks for capturing complex network topology.

Scientific reports·2026
Same author

MONFIT: multi-omics factorization-based integration of time-series data sheds light on Parkinson's disease.

NAR molecular medicine·2025
Same author

Biological databases in the age of generative artificial intelligence.

Bioinformatics advances·2025
Same author

Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data.

Bioinformatics (Oxford, England)·2025
Same author

Graphlet-based hyperbolic embeddings capture evolutionary dynamics in genetic networks.

Bioinformatics (Oxford, England)·2024
Same author

Current and future directions in network biology.

Bioinformatics advances·2024
Same journal

Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections.

Bioinformatics advances·2026
Same journal

Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer.

Bioinformatics advances·2026
Same journal

maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.

Bioinformatics advances·2026
Same journal

RAM-MSA: an anytime memory-bounded method for exact multiple sequence alignment using path finding.

Bioinformatics advances·2026
Same journal

Interpretable machine learning for low-sample multi-omics: a case study of ferret vaccine response.

Bioinformatics advances·2026
Same journal

DeepTaxa: a hybrid CNN-BERT framework for 16S rRNA taxonomic classification.

Bioinformatics advances·2026
See all related articles

Related Experiment Video

Updated: May 28, 2025

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

7.8K

Simplicity within biological complexity.

Nataša Pržulj1,2,3,4, Noël Malod-Dognin2

  • 1Computational Biology Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, 00000, United Arabic Emirates.

Bioinformatics Advances
|February 10, 2025
PubMed
Summary
This summary is machine-generated.

A new framework for multi-omic network data embedding is proposed to advance precision medicine. This approach aims to enable explainable AI for patient stratification, biomarker discovery, and personalized drug development.

More Related Videos

Simple, Affordable, and Modular Patterning of Cells using DNA
08:59

Simple, Affordable, and Modular Patterning of Cells using DNA

Published on: February 24, 2021

4.0K
Visualizing Single Molecular Complexes In Vivo Using Advanced Fluorescence Microscopy
11:26

Visualizing Single Molecular Complexes In Vivo Using Advanced Fluorescence Microscopy

Published on: September 8, 2009

9.3K

Related Experiment Videos

Last Updated: May 28, 2025

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

7.8K
Simple, Affordable, and Modular Patterning of Cells using DNA
08:59

Simple, Affordable, and Modular Patterning of Cells using DNA

Published on: February 24, 2021

4.0K
Visualizing Single Molecular Complexes In Vivo Using Advanced Fluorescence Microscopy
11:26

Visualizing Single Molecular Complexes In Vivo Using Advanced Fluorescence Microscopy

Published on: September 8, 2009

9.3K

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Multi-omic data integration is crucial for precision medicine, enabling patient stratification, biomarker discovery, and personalized treatments.
  • Current methodologies for analyzing complex molecular networks are limited, necessitating a paradigm shift for quantitative and qualitative breakthroughs.
  • Network embedding (graph representation learning) shows promise by mapping network topology to function, but existing methods are restricted to specific data types and applications.

Discussion:

  • The development of a comprehensive, general framework for embedding multi-scale molecular network data is essential.
  • This framework should enable explainable exploitation of multi-omic data in precision medicine with linear time complexity.
  • Leveraging modern graph embedding techniques and computational power is key to creating efficient, explainable, and controllable models.

Key Insights:

  • A paradigm shift is needed to overcome limitations in current multi-omic data analysis for precision medicine.
  • A general framework for network embedding of multi-omic data can unlock new possibilities in personalized medicine.
  • Explainable and controllable models are crucial for safe and effective application in biomedical informatics.

Outlook:

  • The proposed framework will facilitate a paradigm shift in understanding complex diseases and data.
  • This approach aims to address major bottlenecks in precision medicine and personalized drug discovery.
  • Future work will focus on developing efficient, scalable software implementations and applying the framework to real-world biomedical problems.