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Import data sets (check for NAN) NumPy arrays to analyze data: slicing, stats (mean, std, ...), calculations on arrays Using functions Fitting data: R test, residuals Plotting with matplotlib, histograms, 2D heatmaps
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Student versions of Data-driven chemistry session 6.
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3h session on analysis and visualisation of molecular geometries.
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Demonstrator version (i.e. with answers included) for session 6 of Data-Driven Chemistry.
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Student materials for the Year 2 chemistry course "Data-Driven Chemistry" (DDC).
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Network-independent tools shared by multiple aliby components.
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End-to-end automated processing of live-cell imaging data.
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Analysing the supplementary data of Campbell et al. (2020) PNAS. [https://doi.org/10.1073/pnas.1919535117]
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