Uncertainty visualization refers to techniques used to represent the degree of uncertainty in data or models, helping researchers understand and interpret complex information. This approach is especially crucial in fields like computational biology where models can involve inherent unpredictability due to various factors, such as biological variability or incomplete data. By effectively visualizing uncertainty, it becomes easier to convey the confidence levels associated with different outcomes, aiding in decision-making and further analysis.
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