Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
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Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Schema and generated objects for biolink data model and upper ontology
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Run scripts, explore your genome, and get personalized explanations — all in natural dialogue.
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning