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Cheminformatic Tutorials

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    Reinforcement learning

    Reinforcement learning is a method that drives learning and memory in primitive species such as birds, humans and other living species to its use in machine learning. It is used to influence the behavior of us humans on social media to its use to train machines. The essential components were initiated by BF Skinner 20th…

  • Sparql tool – connect LLM to knowledge graphs

    Talk to knowledge graph – sparql-tool Use LLM.: Hallucinations (sometimes good for creativity), Outdated knowledge, no access to your data ( trained on public knowledge). Solutions: Fine tuning – retrain the model on domain data RAG – Search: look things up in real time. Claude code looks at searched doc. Vector embeddings: semantic similarity search…

  • DeepSpot

    Kalin Klonchev – the winner of a competition for AI based data analysis from Broad in 2024 had also created a tool called DeepSpot. Worth looking at for spot analysis of H&E sections by converting a full H&E slide pictures to “spots” which are analyzed. Some good links: DeepSpot paper: https://www.medrxiv.org/content/10.1101/2025.02.09.25321567v1 DeepSpot GitHub repository: https://github.com/ratschlab/DeepSpot…