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protein-interaction-network

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NIGMS / Protein-Protein-Interactions-using-ML

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In this module, you will harness novel machine learning techniques to investigate how proteins behave. A special focus will be given to data preprocessing, model training, and evaluation techniques to uncover complex biological relationships

machine-learning random-forest structural-biology gcp molecular-dynamics computational-biology pymol drug-discovery logistic-regression protein-protein-interaction molecular-visualization sars-cov-2 protein-interaction-network biophysical-simulations
  • Updated Mar 17, 2026
  • Jupyter Notebook

romanbaptista / lincs-embedding

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End‑to‑end pipeline for generating context‑aware drug embeddings from LINCS L1000 using RNA‑seq preprocessing, STRING PPI networks, and GNNs, with UMAP visualisation and drug‑class neighbourhood analysis.

bioinformatics rna-seq systems-biology computational-biology gene-expression drug-discovery umap data-pipeline network-biology graph-neural-networks pytorch-geometric gnn protein-interaction-network string-db lincs-l1000
  • Updated May 14, 2026
  • Jupyter Notebook

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