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Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.

, , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (6): 3171-3178 (2022)

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Cheng Ni

Cheng Ni

Jian Cheng

Jian Cheng

Jian Cheng Wang

 

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SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization., , , , , , и . PLoS Comput. Biol., (2021)GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder., , , , , и . PLoS Comput. Biol., (2021)Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (6): 3171-3178 (2022)Robust Visual Tracking Using Hierarchical Vision Transformer with Shifted Windows Multi-Head Self-Attention., , , , и . IEICE Trans. Inf. Syst., 107 (1): 161-164 (января 2024)AEMDA: inferring miRNA-disease associations based on deep autoencoder., , , , , и . Bioinform., 37 (1): 66-72 (2021)RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association., , , , , и . ICIC (3), том 12838 из Lecture Notes in Computer Science, стр. 522-535. Springer, (2021)Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing., , , , , и . ICIC (2), том 13394 из Lecture Notes in Computer Science, стр. 245-259. Springer, (2022)Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (1): 277-284 (января 2023)An Efficient Drug-Drug Interactions Prediction Technology for Molecularly Intelligent Manufacturing., , и . CoRR, (2022)GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations., , , , , и . ICIC (2), том 13394 из Lecture Notes in Computer Science, стр. 166-180. Springer, (2022)