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Multi-modal features-based human-herpesvirus protein–protein ...
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Jan 26, 2024 · We established a multi-modal embedding feature fusion-based LightGBM method to predict human-herpesvirus PPIs.
Jan 22, 2024 · Here, we established a multi-modal embedding feature fusion-based LightGBM method to predict human-herpesvirus PPIs. In particular, we applied ...
Jan 28, 2024 · Here, we established a multi-modal embedding feature fusion-based LightGBM method to predict human-herpesvirus PPIs. In particular, we ...
Here, we established a multi-modal embedding feature fusion-based LightGBM method to predict human-herpesvirus PPIs. In particular, we applied document and ...
Here, we established a multi-modal embedding feature fusion-based LightGBM method to predict human-herpesvirus PPIs. In particular, we applied document and ...
AUPRC indicated that the multi-modal integration-based LightGBM outperformed different single-modal based LightGBM models. In (A), we used the non-rigorous ...
May 19, 2024 · Multi-modal features-based human-herpesvirus protein-protein interaction prediction by using LightGBM. Briefings Bioinform. 25(2) (2024) ...
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MultimodalPPI employ document and graph embeddings to characterize the multimodal features (i.e., sequence, network and function) of proteins to train the ...
Multi-modal features-based human-herpesvirus protein-protein interaction prediction by using LightGBM.Brief Bioinform. 2024, 25(2):bbae005. doi: 10.1093/bib ...
Mar 10, 2024 · Once the XGBoost model is fully trained, it can be used to predict PPIs. The model outputs a score for each protein pair, which can be ...