Ke Chen
Orcid: 0000-0002-6962-1724Affiliations:
- Tiangong University, formerly Tianjin Polytechnic University, School of Computer Science and Software Engineering, China
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada (PhD 2011)
According to our database1,
Ke Chen
authored at least 23 papers
between 2006 and 2017.
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Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2017
NSiteMatch: Prediction of Binding Sites of Nucleotides by Identifying the Structure Similarity of Local Surface Patches.
Comput. Math. Methods Medicine, 2017
2015
CGDNA: 基于簇图的基因组序列集成拼接算法 (CGDNA: An Ensemble De Novo Genome Assembly Algorithm Based on Clustering Graph).
计算机科学, 2015
Comput. Biol. Chem., 2015
2014
Comput. Math. Methods Medicine, 2014
newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation.
Comput. Biol. Chem., 2014
2012
Proceedings of the Handbook of Natural Computing, 2012
Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors.
Bioinform., 2012
2011
Critical assessment of high-throughput standalone methods for secondary structure prediction.
Briefings Bioinform., 2011
2010
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources.
Bioinform., 2010
Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
IEEE Trans. Neural Networks, 2009
IEEE Trans. Fuzzy Syst., 2009
Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs.
J. Comput. Chem., 2009
2008
IEEE Trans. Syst. Man Cybern. Part B, 2008
Prediction of protein structural class using novel evolutionary collocation-based sequence representation.
J. Comput. Chem., 2008
Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
BMC Bioinform., 2008
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.
BMC Bioinform., 2008
Algorithms Mol. Biol., 2008
2007
PFRES: protein fold classification by using evolutionary information and predicted secondary structure.
Bioinform., 2007
2006
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006