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May 15, 2024Journal of Chemical Information and Modeling

DPMGCDA: Deciphering circRNA–Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder

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Authors

YLYue LuoCentral South UniversityLDLei DengCentral South University

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Cite This Study

Luo et al. (2024) studied this question.

synapsesocial.com/papers/68e69ff8b6db6435876237cbhttps://doi.org/10.1021/acs.jcim.4c00573
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1<scp>Predicting</scp> the potential associations between <scp>circRNA</scp> and drug sensitivity using a multisource feature‐based approach2024 · 18 citations
  2. 2AGCECDA: attention-guided heterogeneous graph collaborative embedding for circRNA–drug sensitivity association prediction2026
  3. 3DMAGCL: A dual-masked adaptive graph contrastive learning framework for predicting circRNA-drug sensitivity2025
  4. 4DMAGCL: A dual-masked adaptive graph contrastive learning framework for predicting circRNA-drug sensitivity2025
  5. 5CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learning2026 · 1 citations