In this study, we exploit both biochemical characteristics of drugs via network integration and molecular sequences via word embeddings, then we develop an ...
DTINet first integrates multiple sources of information to construct a heterogeneous network, then uses the diffusion component analysis (DCA) to generate low- ...
Apr 20, 2021 · KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information ... KenDTI is robust against missing data ...
Aug 6, 2021 · first integrates multiple sources of information to construct a heterogeneous network, then uses the diffusion compo- nent analysis (DCA) to ...
Nov 25, 2023 · [40] proposed a method that combines network and molecular information to predict drug targets. ... ... Both models applied linear or graphical ...
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Mar 20, 2024 · KenDTI: an ensemble model for predicting drug-target interaction by integrating multi-source information. IEEE/ACM Trans Comput Biol ...
A network-based computational method, namely LG-DTI, is proposed to accurately predict DTIs over a heterogeneous information network and indicates that it ...
Feb 20, 2024 · KenDTI: An Ensemble Model for Predicting Drug- Target Interaction by Integrating Multi-Source Information. Z Yu; J Lu; Y Jin; Y Yang. ChemBER Ta ...
This article proposes a model that combines graph autoencoder and self-supervised learning to accurately encode multilevel features of graphs using only a small ...
May 6, 2024 · A deep learning model called AMMVF-DTI was developed by Wang et al. (2023), which combined multimodal and multi-view information and ...
Missing: KenDTI: | Show results with:KenDTI: