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Machine Learning as Applied to Structural Bioinformatics: Results and Challenges

Machine Learning as Applied to Structural Bioinformatics: Results and Challenges. Philip E. Bourne University of California San Diego pbourne@ucsd.edu. The Current Situation. Structure contributes greatly to our understanding of living systems

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698 views • 45 slides

Final report on the Surface stations project

Final report on the Surface stations project. Siting matters, and the numbers show just how much. What was done on the Surface stations project.

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352 views • 25 slides

Designing Experiments

Designing Experiments. Scientific Method Parts of the Scientific Method The Hypothesis The Experiment Independent and Dependent Variables Sampling Paradigms. Scientific Method.

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337 views • 20 slides

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Machine Learning as Applied to Structural Bioinformatics: Results and Challenges

Final report on the Surface stations project

Designing Experiments