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Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information Network.

, , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 270-278. Springer, (2020)

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Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information Network., , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 270-278. Springer, (2020)Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest., , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 227-238. Springer, (2020)Real-time OEE visualisation for downtime detection., , and . INDIN, page 729-734. IEEE, (2022)Line graph attention networks for predicting disease-associated Piwi-interacting RNAs., , , , , and . Briefings Bioinform., (2022)A Novel Method Combining Grayscale Images and Convolutional Neural Networks for Non-Intrusive Load Identifications., , and . iFUZZY, page 1-6. IEEE, (2022)A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information., , , , and . ICIC (3), volume 12465 of Lecture Notes in Computer Science, page 367-377. Springer, (2020)SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations., , , , , and . Briefings Bioinform., (2021)NMFCDA: Combining randomization-based neural network with non-negative matrix factorization for predicting CircRNA-disease association., , , , , and . Appl. Soft Comput., (2021)