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BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks.

, and . Comput. Biol. Chem., (April 2023)

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BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks., and . Comput. Biol. Chem., (April 2023)Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (3): 974-987 (2018)L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification., , , , and . Comput. Biol. Chem., (2020)Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction., , , , and . Eng. Appl. Artif. Intell., (2024)SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations., , , , and . Knowl. Based Syst., (January 2024)Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data., , , , and . CoRR, (2019)Adaptive total-variation joint learning model for analyzing single cell RNA seq data., , , and . BIBM, page 775-778. IEEE, (2021)An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification., , , , , and . BIBM, page 2088-2094. IEEE, (2022)LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction., , , , , and . ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 291-299. Springer, (2023)Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification., , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 537-545. Springer, (2020)