Training materials
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A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure
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Interval-Wise Testing for omics data
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Fine tune large protein model (ProtTrans) using HuggingFace
deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning
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Supervised Learning with Hyperdimensional Computing
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Introduction to Machine Learning using R
interactive-tools
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Evaluating and ranking a set of pathways based on multiple metrics
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Designing plasmids encoding predicted pathways by using the BASIC assembly method
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Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools
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Overview of the Galaxy Training Material for Instructors
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Workshop Kickoff
prepare