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LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.

, , , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 291-299. Springer, (2023)

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Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection., , , и . IDMB, том 1099 из Communications in Computer and Information Science, стр. 112-125. Springer, (2019)LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction., , , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 291-299. Springer, (2023)Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics., , , , , и . ISBRA (1), том 14954 из Lecture Notes in Computer Science, стр. 418-426. Springer, (2024)Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression., , , и . BIBM, стр. 1268-1273. IEEE, (2022)