Feng Liu

发表

Predicting drug side effects by multi-label learning and ensemble learning

Feng Liu, Wen Zhang, Jingxia Zhang, 2015, BMC Bioinformatics.

Predicting drug-disease associations by using similarity constrained matrix factorization

Feng Liu, Wen Zhang, Ruoqi Liu, 2018, BMC Bioinformatics.

Predicting drug-disease associations based on the known association bipartite network

Feng Liu, Xiaohong Li, Yanlin Chen, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting drug-disease associations by using similarity constrained matrix factorization

Feng Liu, Feng Huang, Wen Zhang, 2018, BMC Bioinformatics.

PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts

Feng Liu, Wen Zhang, Shichao Liu, 2019, Genes.

Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

Feng Liu, Xiaohong Li, Wen Zhang, 2017, BMC Bioinformatics.

Predicting CircRNA-Disease Associations Through Linear Neighborhood Label Propagation Method

Xiaochan Wang, Feng Liu, Wen Zhang, 2019, IEEE Access.

Predicting drug side effects by multi-label learning and ensemble learning

Feng Liu, Wen Zhang, Longqiang Luo, 2015, BMC Bioinformatics.

A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs

Dingfang Li, Wen Zhang, Fei Luo, 2016, BMC Bioinformatics.

A unified frame of predicting side effects of drugs by using linear neighborhood similarity

Feng Liu, Xining Zhang, Shikui Tu, 2017, BMC Systems Biology.

Drug side effect prediction through linear neighborhoods and multiple data source integration

Feng Liu, Shikui Tu, Yanlin Chen, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

Feng Liu, Fei Luo, Xiaohong Li, 2017, BMC Bioinformatics.