Models. by Bjørn André Bredesen-Aa (13767126)

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Numbers of predictions. by Bjørn André Bredesen-Aa (13767126)

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Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020. by Ricardo Jorge Pais (3627494)

Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci. by Bjørn André Bredesen-Aa (13767126)

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python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

Prediction overlap with experimental data. by Bjørn André Bredesen-Aa (13767126)

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Multiprocessing and GPU application of SVMs significantly reduces run-times. by Bjørn André Bredesen-Aa (13767126)

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Deep-MOCCA schematic. by Bjørn André Bredesen-Aa (13767126)

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Core data preparation features. by Bjørn André Bredesen-Aa (13767126)

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Cross-validation Precision/Recall curves. by Bjørn André Bredesen-Aa (13767126)

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Sequence feature analysis. by Bjørn André Bredesen-Aa (13767126)

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ProSmith model overview. by Alexander Kroll (9304225)

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The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

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Hyperparameters of the ProSmith gradient boosting models. by Alexander Kroll (9304225)

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PHOTONAI explorer. by Ramona Leenings (11167294)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Replacing the final prediction layer of end-to-end trained Transformer Networks with gradient boosting models improves performance. by Alexander Kroll (9304225)

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ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. by Alexander Kroll (9304225)

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Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. by Alexander Kroll (9304225)

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Five Operator Lattice Simulation by James McDaniel (22522571)

“…<p dir="ltr">This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).…”