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Uncertainty in Biology

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This book explores computational modeling in biomedical research, focusing on reducing animal experimentation. It addresses key issues like uncertainty in modeling, model selection, sensitivity analysis, and predictions. With theoretical descriptions and practical examples, it's aimed at graduate students and researchers in the field.

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2015, hardcover

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