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

Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

1.0K
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
1.0K
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

1.1K
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
1.1K
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

995
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
995
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

803
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
803
Alternative Sets of Equilibrium Equations01:31

Alternative Sets of Equilibrium Equations

1.1K
When analyzing the behavior of structures, engineers often rely on the concept of equilibrium. This refers to the state where all forces and moments acting on a system balance each other, resulting in no net movement or rotation. In many cases, equilibrium can be described by a set of standard equations. However, in some situations, alternative sets of equilibrium equations must be used to describe the system's behavior accurately.
One example of such a situation can be observed in a...
1.1K
Network Function of a Circuit01:25

Network Function of a Circuit

969
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.
969

You might also read

Related Articles

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

Sort by
Same author

CT - derived fractional flow reserve can predict recurrent ischemia in patients with MCA stenosis.

Frontiers in neurology·2026
Same author

Label-Free Raman Spectroscopy Reveals Metabolic Signatures Associated with MGMT Promoter Methylation Status in Glioblastoma.

Analytical chemistry·2026
Same author

CNet-Cox for interpretable network biomarker discovery and survival risk scoring in precise breast cancer prognosis.

NPJ digital medicine·2026
Same author

A Location-Specific Hyperdense Area Score Predicts Severe Mass Effect after Thrombectomy.

Neurocritical care·2026
Same author

Interleukin-34-Induced Arg1+ Macrophages Play a Key Role in Breast Cancer Brain Metastasis.

Cancer research communications·2026
Same author

Circulating extracellular microRNAs as tissue-specific biomarkers of human health and disease.

Nature communications·2026
Same journal

Identification of MTFR1 as a Novel Prognostic Biomarker and Putative Oncogene for Breast Cancer: A Multi-Omics Analysis and in Vitro Experimental Validation.

IET systems biology·2026
Same journal

scGMB: A scRNA-seq Cell Classification Method Combining GCN and Mamba.

IET systems biology·2026
Same journal

Identification of Chemokine-Related Genes Derived From T and NK Cells in the Tumour Microenvironment of Ovarian Cancer Based on scRNA-Seq.

IET systems biology·2026
Same journal

Unravelling the Mechanism of Compound Kushen Injection in Treating Cervical Cancer Through Ferroptosis Regulation: An Integrated Network Pharmacology and Molecular Docking Study.

IET systems biology·2026
Same journal

Metabolic Reprogramming in Recurrent Spontaneous Abortion: Key Biomarkers Identification and Diagnostic Model Development.

IET systems biology·2026
Same journal

Network Pharmacology and Experimental Validation to Explore the Potential Mechanism of Salvianolic Acid B in Reversing Oxaliplatin Resistance of Colorectal Cancer Cells.

IET systems biology·2026
See all related articles

Related Experiment Video

Updated: Mar 6, 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

Integer programming-based method for observability of singleton attractors in Boolean networks.

Xiaoqing Cheng1, Yushan Qiu2, Wenpin Hou3

  • 1School of Mathematics and Statistics, Xian Jiaotong Univeristy, Xian, People's Republic of China.

IET Systems Biology
|March 18, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces attractor observability in Boolean networks (BNs) to identify biomarkers. A novel integer programming method finds minimum node sets to distinguish attractors, aiding disease type identification.

More Related Videos

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

Related Experiment Videos

Last Updated: Mar 6, 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
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

Area of Science:

  • Systems Biology
  • Computational Biology
  • Network Science

Background:

  • Boolean networks (BNs) model genetic regulatory networks.
  • Observability is crucial for understanding network behavior.
  • Attractor cycle observability remains understudied, despite its biomarker potential.

Purpose of the Study:

  • Propose and address the novel problem of attractor observability in BNs.
  • Develop a method to identify minimum node sets for attractor discrimination.
  • Establish a link between attractor cycles and disease biomarkers.

Main Methods:

  • Introduced the concept of attractor observability in Boolean networks.
  • Developed a novel integer programming approach to identify key nodes.
  • Validated the method using numerical examples.

Main Results:

  • Successfully identified minimum consecutive node sets to differentiate attractors.
  • Demonstrated the effectiveness of the integer programming method.
  • Computational results confirmed the model's efficiency and efficacy.

Conclusions:

  • Attractor observability is a critical, previously unaddressed aspect of Boolean networks.
  • The proposed integer programming method effectively identifies biomarker candidates.
  • This approach offers a promising tool for disease type differentiation using network dynamics.