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- W3191405090 abstract "MicroRNA (miRNA) is involved in many life processes and is closely associate with complex diseases such as cancer. Therefore, predicting the association between miRNA and disease has become a research hotspot. The bioinformatics method has great advantages, it is efficient, fast and less expensive. We have developed a reinforcement learning-Based model for Human microRNA-disease association prediction. This model puts three sub-method models CMF, NRLMF and LapRLS into the Q-learning model of reinforcement learning. We can get an optimal weight value. On the benchmark data set, the results of our method are comparable and even better than existing models." @default.
- W3191405090 created "2021-08-16" @default.
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- W3191405090 date "2021-01-01" @default.
- W3191405090 modified "2023-10-18" @default.
- W3191405090 title "A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction" @default.
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- W3191405090 doi "https://doi.org/10.1007/978-3-030-84532-2_20" @default.
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