Are you a life science researcher who would love to use Python in your research, but have no prior coding experience? This intensive, live, 3-day online course was designed for you.
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Here we develop a simple Python function to help us evaluate the performance of biomarkers in diagnosing disease.
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The great majority of life scientists still often use calculators or spreadsheets, for handling their research data ...
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A little while back on The Digital Biologist, we published a 2-part introduction to Bayes’ Theorem ...
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… the life science Big Data scene is largely Big Hype.
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It’s often widely assumed that decisions made by algorithms are more “neutral” and “fair” than those made by people.
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The application of calculus to the deterministic modeling of biological systems however, can be problematic ...
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Actionable insights that can be gained by the application of Bayesian analysis to the design of biomarkers ...
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Why is Bayes’ Theorem so useful and what does it have to teach us as life scientists?
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