Predicting circRNA-drug sensitivity associations via graph attention auto-encoder

Predicting circRNA-drug sensitivity associations via graph attention auto-encoder

Background: Circular RNAs (circRNAs) play essential roles in cancer development and therapy resistance. Many studies have shown that circRNA is closely related to human health. The expression of circRNAs also affects the sensitivity of cells to drugs, thereby significantly affecting the efficacy of...

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Bibliographic Details
Main Authors: Deng, L. (Author), Liu, Z. (Author), Qian, Y. (Author), Zhang, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Auto encoders
Cancer development
Cancer therapy
Case-studies
Circrna-drug association
circRNA-drug associations
Drug-sensitivity
Forecasting
Graph attention auto-encoder
Graph neural networks
Human health
Network coding
Neural network
Neural-networks
Similarity network
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