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

What are Populations and Communities?

What are Populations and Communities?

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Community Based Intervention

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

You might also read

Related Articles

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

Sort by

Same author

Generalizable AI predicts immunotherapy outcomes across cancers and treatments.

Nature medicine·2026

Same author

Quantum-machine-assisted drug discovery.

npj drug discovery·2026

Same author

Embeddings of clinical codes enable knowledge-grounded AI in medicine.

NPJ digital medicine·2026

Same author

Bio-BLIP: A Multimodal Architecture for Transferable Reasoning in Genomic Variant Interpretation.

bioRxiv : the preprint server for biology·2026

Same author

From text to translation: using language models to prioritize variants for clinical review.

Genome medicine·2026

Same author

Phenotypic prediction of missense variants via deep contrastive learning.

Nature biomedical engineering·2026

Same journal

PCSK5 promotes angiogenesis and cardiac repair after myocardial infarction.

Nature communications·2026

Same journal

PfApiAT2 is a proline transporter essential for the transmission of Plasmodium falciparum by the mosquito vector.

Nature communications·2026

Same journal

Transient distortions of the South Atlantic Anomaly radiation environments driven by electric fields.

Nature communications·2026

Same journal

Structural basis of the regulation by CDK11 kinase of early spliceosome activation and evidence for its proofreading by DHX15 helicase.

Nature communications·2026

Same journal

Structural and mechanistic insights into primer synthesis initiation by DNA primase.

Nature communications·2026

Same journal

Changes in heritability and shared environmentality of educational attainment across twentieth-century Norway.

Nature communications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 8, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Prioritizing network communities.

Marinka Zitnik¹, Rok Sosič¹, Jure Leskovec^2,3

¹Computer Science Department, Stanford University, 353 Serra Mall, Stanford, CA, 94305, USA.

Nature Communications

|July 1, 2018

Summary

This summary is machine-generated.

CRANK is a new method for prioritizing network communities, improving experimental validation by 50-fold. It efficiently evaluates community structures without needing extra data, making it a powerful tool for systems biology and network analysis.

More Related Videos

Biology of Microbial Communities - Interview

Biology of Microbial Communities - Interview

Published on: May 28, 2007

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Related Experiment Videos

Last Updated: Feb 8, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Biology of Microbial Communities - Interview

Biology of Microbial Communities - Interview

Published on: May 28, 2007

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

Network science
Systems biology
Computational physics

Background:

Identifying modular structures in complex networks is crucial across scientific disciplines.
Community detection algorithms generate hypotheses (communities) that require experimental validation.
Prioritizing which communities to validate is essential due to experimental limitations.

Purpose of the Study:

To develop a mathematically principled approach for prioritizing network communities.
To create a method that efficiently evaluates community structural features for prioritization.
To offer a flexible tool compatible with various community detection methods.

Main Methods:

CRANK (Community Robustness And Network Knowledge) evaluates the robustness and magnitude of structural features within each community.
It combines these features to generate a community prioritization score.
The method primarily uses network structure information but can incorporate domain-specific data.

Main Results:

CRANK effectively prioritizes communities for experimental validation.
Experiments on large networks demonstrated a nearly 50-fold improvement in prioritization.
The method's performance is enhanced when domain-specific information is available.

Conclusions:

CRANK provides a robust and efficient solution for prioritizing network communities.
Its ability to work with minimal data makes it broadly applicable.
The significant improvement in prioritization facilitates more effective experimental validation in complex systems.