1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
q-bio.GN2019★ 1 cited
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data
Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong +1
In the context of cancer, internal "checkerboard" structures are normally found in the matrices of gene expression data, which correspond to genes that are significantly up- or dow…