Multi-Classification of Cancer Samples Based on Co-Expression Analyses. - Hongyang Jiang 002; Qiang Huang; Liang Chen 021; Zhi Li; Ying Xu 001; Huiyan Sun; Yi Chang 001 (BIBM, 2019)

Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. - Hongyang Jiang 002; Zhihang Wang; Chaoyi Yin; Peishuo Sun; Ying Xu 001; Huiyan Sun (BIBM, 2020)

Gene regulatory network inference based on causal discovery integrating with graph neural network. - Ke Feng; Hongyang Jiang 002; Chaoyi Yin; Huiyan Sun (Quant. Biol., 2023)

Estimating Individual Causal Treatment Effect by Variable Decomposition. - Hongyang Jiang 002; Yonghe Zhao; Qiang Huang; Yangkun Cao; Huiyan Sun; Yi Chang 001 (IJCNN, 2024)

ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering. - Benjie Zhou; Hongyang Jiang 002; Yuezhu Wang; Yujie Gu; Huiyan Sun (ISBRA (1), 2024)

SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation. - Hongyang Jiang 002; Yuezhu Wang; Chaoyi Yin; Hao Pan; Liqun Chen; Ke Feng; Yi Chang 001; Huiyan Sun (Comput. Biol. Medicine, 2024)