Recherche, 2022
Comparative deep learning study classifying proteins into 18 functional categories.
Applied ML Research · Bioinformatics
Multi-architecture comparison using amino acid sequences and 3D structural data.
Stack technique
PyTorchGNNCNNLSTMscikit-learn
Contexte
Bioinformatics challenge classifying proteins into 18 functional categories using both amino acid sequences and 3D structural graph data.
Points clés
- ●Graph Neural Networks (HGP-SL) for 3D protein structure
- ●Fusion models combining GNN + MLP approaches
- ●Benchmark across GNN, CNN, LSTM, and logistic regression
Comment Frema Labs le met à votre service
Have sequence and structured data to classify? We benchmark graph, sequence, and fusion models to find what genuinely fits your data.
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