The invention
lncRNA-disease associations prediction method based on matrix factorization and stacked denoising autoencoders
W: Hardware – Software – Cybersecurity – Blockchain – Internet of things (IoT)
Informations
- Stand number
- D01
- Exhibition class
- W: Hardware – Software – Cybersecurity – Blockchain – Internet of things (IoT)
- Technical description
- By combining matrix factorization with stacked denoising autoencoders,it effectively addressed the prediction of lncRNA-disease associations and optimized the model by minimizing the loss function.
- Simplified description
- By blending matrix factorization with advanced machine learning techniques, researchers successfully predicted links between certain RNA molecules and diseases. They fine-tuned the model to achieve more accurate predictions.
Inventors
Guangxi University
inventor 3701634076_4320
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