most citedDual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data

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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…