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The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification.

, , , , , and . BIBM, page 279-282. IEEE Computer Society, (2018)

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Predicting Microbial Interactions Using Vector Autoregressive Model with Graph Regularization., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 12 (2): 254-261 (2015)Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data., , and . ISBRA, volume 8492 of Lecture Notes in Computer Science, page 346-356. Springer, (2014)Predicting LncRNA-disease Association by Autoencoder and Rotation Forest., , and . BIBM, page 159-164. IEEE, (2019)The modularity of microbial interaction network in healthy human saliva: Stability and specificity., , , , , , and . BIBM, page 2048-2053. IEEE Computer Society, (2017)A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases., , , , , and . BIBM, page 402-407. IEEE, (2020)High-order Organization of Weighted Microbial Interaction Network., , , , , and . BIBM, page 206-209. IEEE Computer Society, (2018)A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis., , , , , and . BIBM, page 49-54. IEEE Computer Society, (2015)Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction., , , , , and . BIBM, page 1643-1648. IEEE, (2023)Multimodal reasoning for nutrition and human health via knowledge graph embedding., , , , , and . BIBM, page 1901-1904. IEEE, (2023)Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction., , , , , and . BIBM, page 197-200. IEEE Computer Society, (2018)