We report here a novel method based on deep belief network to predict drug synergy from gene expression, pathway and the Ontology Fingerprints.

We report here a novel method based on deep belief network to predict drug synergy from gene expression, pathway and the Ontology Fingerprints.

Aug 29, 2022 · A new drug synergy prediction framework by integrating all 25 levels of CC bioactivity similarity metrics.

In this work, we employed a deep feature compression approach on gene expression data, pathway information and Ontology Fingerprints to improve the performance ...

Mar 23, 2023 · GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction. Journal of the American Medical Informatics ...

Feb 21, 2023 · We propose an improved deep forest-based model, ForSyn, to address the above problem on imbalanced, medium- or small-scale datasets with high dimensionality.

Dec 5, 2022 · The main objective of this study is to develop a deep learning-based approach that integrated multi-omics data to predict novel synergistic ...

May 6, 2024 · ; Zheng, W. J. Predict effective drug combination by deep belief network and ontology fingerprints. J. Biomed. Inf. 2018, 85, 149– 154, DOI ...

Missing: belief ontology

Mar 13, 2019 · Here we propose a network-based methodology to identify clinically efficacious drug combinations for specific diseases.