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Question 86 - CBDA discussion

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A lab is conducting a study on protein interactions. They have used the data to create a graph visualization. In graph visualization, what would an edge represent?

A.
A single datapoint
Answers
A.
A single datapoint
B.
A link between two datapoints
Answers
B.
A link between two datapoints
C.
A collection of datapoints and links
Answers
C.
A collection of datapoints and links
D.
A dedicated algorithm that calculates the node positions
Answers
D.
A dedicated algorithm that calculates the node positions
Suggested answer: B

Explanation:

Explanation: A graph visualization is a type of visualization that shows the relationships among data points by using nodes (or vertices) to represent the data points and edges (or links) to represent the connections between them1.A graph visualization can help reveal patterns, clusters, outliers, or hierarchies in the data2.In a graph visualization, an edge represents a link between two data points, indicating that they have some kind of association, interaction, similarity, or dependency3.For example, in a study on protein interactions, an edge could represent a physical or functional interaction between two proteins, such as binding, signaling, or regulation4. A single data point, a collection of data points and links, and a dedicated algorithm that calculates the node positions are not correct definitions of an edge in a graph visualization. A single data point is represented by a node, not an edge, in a graph visualization. A collection of data points and links is the whole graph, not an edge, in a graph visualization. A dedicated algorithm that calculates the node positions is a method of graph layout, not an edge, in a graph visualization.A graph layout is the way the nodes and edges are arranged in a graph visualization, which can affect the readability, aesthetics, and interpretation of the graph.

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asked 18/09/2024
Mark Espena
25 questions
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