3 papers
cs.LG2024
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network
Wen-Yu Xi, Juan Wang, Yu-Lin Zhang +2
The emerging research shows that lncRNA has crucial research value in a series of complex human diseases. Therefore, the accurate identification of lncRNA-disease associations (LDA…
cs.LG2024
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction
Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai +2
The emerging research shows that lncRNAs are associated with a series of complex human diseases. However, most of the existing methods have limitations in identifying nonlinear lnc…
cs.LG2019
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
Chun-Mei Feng, Yong Xu, Jin-Xing Liu +2
Principal Component Analysis (PCA) has been used to study the pathogenesis of diseases. To enhance the interpretability of classical PCA, various improved PCA methods have been pro…