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AEMDA: inferring miRNA-disease associations based on deep autoencoder.

, , , , , and . Bioinform., 37 (1): 66-72 (2021)

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A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations., , , , and . ICIC (3), volume 13395 of Lecture Notes in Computer Science, page 639-653. Springer, (2022)Secure Multiparty Learning from Aggregation of Locally Trained Models., , , , , and . ML4CS, volume 11806 of Lecture Notes in Computer Science, page 173-182. Springer, (2019)A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2049-2059 (2022)GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder., , , , , and . PLoS Comput. Biol., (2021)AEMDA: inferring miRNA-disease associations based on deep autoencoder., , , , , and . Bioinform., 37 (1): 66-72 (2021)Secure multiparty learning from the aggregation of locally trained models., , , , , , and . J. Netw. Comput. Appl., (2020)Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing., , , , , and . ICIC (2), volume 13394 of Lecture Notes in Computer Science, page 245-259. Springer, (2022)An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (6): 3889-3900 (November 2023)Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (1): 277-284 (January 2023)Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (5): 3154-3162 (September 2023)