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IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional dataDongdong Sun, Minghui Wang, Ao LiJournal of Bioinformatics and Computational Biology|October 7, 2017
MPTM: A tool for mining protein post-translational modifications from literatureDongdong Sun, Minghui Wang, Ao LiScientific Reports|January 20, 2018
TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graphLiang Ding, Minghui Wang, Dongdong Sun, et al.Computer Methods and Programs in Biomedicine|June 2, 2018
Integrating genomic data and pathological images to effectively predict breast cancer clinical outcomeDongdong Sun, Ao Li, Bo Tang, et al.Molecular Biosystems|May 7, 2016
NTSMDA: prediction of miRNA-disease associations by integrating network topological similarityDongdong Sun, Ao Li, Huanqing Feng, et al.Molecular Biosystems|September 19, 2017
A novel method for identifying potential disease-related miRNAs via a disease-miRNA-target heterogeneous networkLiang Ding, Minghui Wang, Dongdong Sun, et al.Methods (San Diego, Calif.)|January 21, 2014
Literature mining of protein phosphorylation using dependency parse treesMang Wang, Hong Xia, Dongdong Sun, et al.Scientific Reports|June 8, 2017
A novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneityJianing Xi, Ao Li, Minghui WangPeerj|May 3, 2017
Prediction of post-translational modification sites using multiple kernel support vector machineBingHua Wang, Minghui Wang, Ao LiBMC Bioinformatics|June 7, 2018
Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction networkJianing Xi, Minghui Wang, Ao LiPageof 199