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Related Concept Videos

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Ogive Graph01:07

Ogive Graph

An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this type...
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all points...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...

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Related Experiment Video

Updated: Jun 17, 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

GO(vis), a gene ontology visualization tool based on multi-dimensional values.

Zi Ning1, Zhenran Jiang

  • 1Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China.

Protein and Peptide Letters
|December 10, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces GO(Vis), a novel tool for analyzing gene product similarity by integrating multiple Gene Ontology (GO) measures. GO(Vis) effectively visualizes gene functional relationships, offering adjustable parameters for diverse biological insights.

Related Experiment Videos

Last Updated: Jun 17, 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

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Traditional gene product similarity measures often focus solely on Gene Ontology (GO) term information content or path-based comparisons.
  • These methods may overlook crucial information embedded within the ontology's structural hierarchy.
  • A comprehensive approach is needed to capture the full spectrum of functional relationships between genes.

Purpose of the Study:

  • To develop and present a new visualization tool, GO(Vis), for analyzing gene and gene product functional relationships.
  • To integrate diverse Gene Ontology (GO) similarity measurement approaches within a unified framework.
  • To demonstrate the impact of key information factors on gene product similarity assessment.

Main Methods:

  • Development of a novel triangle-based visualization tool named GO(Vis).
  • Integration of multiple Gene Ontology (GO) similarity measure approaches.
  • Implementation of adjustable parameters within GO(Vis) to weigh different information factors.

Main Results:

  • GO(Vis) effectively visualizes the functional relationships between gene products.
  • The tool allows for flexible adjustments based on biological knowledge, catering to specific research needs.
  • Experimental results confirm the utility of GO(Vis) in displaying gene product functional relationships.

Conclusions:

  • GO(Vis) offers an advanced method for gene product similarity analysis by incorporating multiple GO similarity measures.
  • The tool's adjustable ratios provide a flexible platform for exploring gene functional relationships.
  • GO(Vis) enhances the understanding of gene product interactions through effective visualization.