Wen Zhang

According to our database1, Wen Zhang authored at least 17 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
A network embedding-based multiple information integration method for the MiRNA-disease association prediction.
BMC Bioinform., 2019

2018
The linear neighborhood propagation method for predicting long non-coding RNA-protein interactions.
Neurocomputing, 2018

Feature-derived graph regularized matrix factorization for predicting drug side effects.
Neurocomputing, 2018

Predicting drug-disease associations by using similarity constrained matrix factorization.
BMC Bioinform., 2018

Sequence-based bacterial small RNAs prediction using ensemble learning strategies.
BMC Bioinform., 2018

The Bi-Direction Similarity Integration Method for Predicting Microbe-Disease Associations.
IEEE Access, 2018

Sequence-derived linear neighborhood propagation method for predicting lncRNA-miRNA interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

HNGRNMF: Heterogeneous Network-based Graph Regularized Nonnegative Matrix Factorization for predicting events of microbe-disease associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A unified frame of predicting side effects of drugs by using linear neighborhood similarity.
BMC Syst. Biol., 2017

Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data.
BMC Bioinform., 2017

Predicting drug-disease associations based on the known association bipartite network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Predicting small RNAs in bacteria via sequence learning ensemble method.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Predicting potential side effects of drugs by recommender methods and ensemble learning.
Neurocomputing, 2016

A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs.
BMC Bioinform., 2016

Drug side effect prediction through linear neighborhoods and multiple data source integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Predicting drug side effects by multi-label learning and ensemble learning.
BMC Bioinform., 2015

2006
Gene Selection Using Rough Set Theory.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006


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