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

Protein Networks02:26

Protein Networks

4.6K
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,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
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...
16.2K
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

608
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
608
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

498
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
498
Network Function of a Circuit01:25

Network Function of a Circuit

889
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.
889

You might also read

Related Articles

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

Sort by
Same author

Integrated miRNAome-transcriptome analyses identify an immuno-hematopoietic subcluster in patients with long COVID.

The Journal of allergy and clinical immunology·2026
Same author

XRCC1 deficiency drives telomeric chromatin leakage, inflammatory signalling and senescence.

Redox biology·2026
Same author

Transcriptomic rewiring of the JAK-STAT pathway in circulating CD4<sup>+</sup>CLA<sup>+</sup> and CD4<sup>+</sup> naïve T cells from patients with atopic dermatitis and psoriasis.

Frontiers in immunology·2026
Same author

Thyme, Oregano, and Cinnamon Essential Oils: Investigating Their Molecular Mechanism of Action for the Treatment of Bacteria-Induced Cystitis.

ACS omega·2026
Same author

Topical probiotic <i>Lactobacillus lactis</i> treatment in atopic dermatitis: a placebo-controlled pilot study on tolerability and efficacy.

Frontiers in medicine·2026
Same author

Integrated Methylome-Transcriptome Analysis Reveals Epigenomic Remodeling and Rho GTPase-Linked Immune-Epithelial Crosstalk in Atopic Dermatitis.

Allergy·2026
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Feb 14, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

INfORM: Inference of NetwOrk Response Modules.

Veer Singh Marwah1,2, Pia Anneli Sofia Kinaret1,2,3, Angela Serra4

  • 1Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.

Bioinformatics (Oxford, England)
|February 10, 2018
PubMed
Summary
This summary is machine-generated.

INfORM simplifies detecting gene expression response modules using network analysis. This R shiny application helps biologists identify statistically and biologically significant gene modules without complex computational pipelines.

More Related Videos

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

514
In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks
07:14

In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks

Published on: June 20, 2025

951

Related Experiment Videos

Last Updated: Feb 14, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

514
In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks
07:14

In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks

Published on: June 20, 2025

951

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Detecting responsive gene modules from expression data is crucial but computationally intensive.
  • Existing methods often require complex analytical pipelines and expertise in multiple software packages.
  • Biologists face challenges in efficiently identifying biologically meaningful gene modules.

Purpose of the Study:

  • To introduce INfORM (Inference of NetwOrk Response Modules), an R shiny application.
  • To enable non-expert users to detect, evaluate, and select statistically and biologically significant gene modules.
  • To provide a user-friendly interface for network-based gene module identification.

Main Methods:

  • Developed an R shiny application named INfORM.
  • Integrated multiple algorithms for inferring consensus gene networks.
  • Implemented an intuitive graphical user interface for module analysis.

Main Results:

  • INfORM facilitates the detection of biologically meaningful response modules.
  • The application simplifies the process of evaluating gene modules for statistical significance.
  • Users can abstract away complex computational steps through the graphical interface.

Conclusions:

  • INfORM offers a comprehensive and accessible tool for gene module identification.
  • The application empowers biologists to perform complex network analyses with ease.
  • INfORM reduces the laboriousness of interpreting gene expression data through network-based approaches.