Prediction of microRNA-disease associations based on distance correlation set. - Haochen Zhao; Linai Kuang; Lei Wang 069; Pengyao Ping; Zhanwei Xuan; Tingrui Pei; Zhelun Wu (BMC Bioinform., 2018)

A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs. - Haochen Zhao; Linai Kuang; Lei Wang 069; Zhanwei Xuan (Comput. Math. Methods Medicine, 2018)

A Novel Method for LncRNA-Disease Association Prediction Based on an lncRNA-Disease Association Network. - Pengyao Ping; Lei Wang 069; Linai Kuang; Songtao Ye; Muhammad Faisal Buland Iqbal; Tingrui Pei (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

A Novel Model for Predicting Essential Proteins Based on Heterogeneous Protein-Domain Network. - Zhiping Chen; Zixuan Meng; Chaoping Liu; Xiangyi Wang; Linai Kuang; Tingrui Pei; Lei Wang 069 (IEEE Access, 2020)

A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs. - Yubin Xiao; Zheng Xiao; Xiang Feng; Zhiping Chen; Linai Kuang; Lei Wang 069 (BMC Bioinform., 2020)

Method for Essential Protein Prediction Based on the Naïve Bayesian Classifier and Bioinformation Fusion. - Jing Tan; Linai Kuang; Lei Wang 069 (ICBBS, 2022)

Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models. - Lei Wang; Yaqin Tan; Xiaoyu Yang; Linai Kuang; Pengyao Ping (Briefings Bioinform., 2022)

GSAMDA: a computational model for predicting potential microbe-drug associations based on graph attention network and sparse autoencoder. - Yaqin Tan; Juan Zou; Linai Kuang; Xiangyi Wang; Bin Zeng; Zhen Zhang; Lei Wang (BMC Bioinform., 2022)

Identification of Essential Proteins Based on Local Random Walk and Adaptive Multi-View Multi-Label Learning. - Lei Wang 069; Jiaxin Peng; Linai Kuang; Yihong Tan; Zhiping Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)