Optimization of the Sliding Window Size for Protein Structure Prediction. - Ke Chen 003; Lukasz A. Kurgan; Jishou Ruan (CIBCB, 2006)

Prediction of the Number of Helices for the Twilight Zone Proteins. - Kanaka Durga Kedarisetti; Ke Chen 003; Aashima Kapoor; Lukasz A. Kurgan (CIBCB, 2006)

PFRES: protein fold classification by using evolutionary information and predicted secondary structure. - Ke Chen 003; Lukasz A. Kurgan (Bioinform., 2007)

HuMiTar: A sequence-based method for prediction of human microRNA targets. - Jishou Ruan; Hanzhe Chen; Lukasz A. Kurgan; Ke Chen 003; Chunsheng Kang; Peiyu Pu (Algorithms Mol. Biol., 2008)

Accurate sequence-based prediction of catalytic residues. - Tuo Zhang; Hua Zhang 011; Ke Chen 003; Shiyi Shen; Jishou Ruan; Lukasz A. Kurgan (Bioinform., 2008)

SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences. - Lukasz A. Kurgan; Krzysztof J. Cios; Ke Chen 003 (BMC Bioinform., 2008)

Sequence based residue depth prediction using evolutionary information and predicted secondary structure. - Hua Zhang 011; Tuo Zhang; Ke Chen 003; Shiyi Shen; Jishou Ruan; Lukasz A. Kurgan (BMC Bioinform., 2008)

Prediction of protein structural class using novel evolutionary collocation-based sequence representation. - Ke Chen 003; Lukasz A. Kurgan; Jishou Ruan (J. Comput. Chem., 2008)

New Delay-Dependent Exponential Stability for Neural Networks With Time Delay. - Shaoshuai Mou; Huijun Gao; Wenyi Qiang; Ke Chen 003 (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs. - Ke Chen 003; Yingfu Jiang; Li Du; Lukasz A. Kurgan (J. Comput. Chem., 2009)

H∞ Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements. - Huijun Gao; Yan Zhao 014; James Lam; Ke Chen 003 (IEEE Trans. Fuzzy Syst., 2009)

Stability Analysis of Discrete-Time Recurrent Neural Networks With Stochastic Delay. - Yu Zhao 013; Huijun Gao; James Lam; Ke Chen 003 (IEEE Trans. Neural Networks, 2009)

Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors. - Ke Chen 003; Marcin J. Mizianty; Lukasz A. Kurgan (BIBM, 2010)

Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources. - Marcin J. Mizianty; Wojciech Stach; Ke Chen 003; Kanaka Durga Kedarisetti; Fatemeh Miri Disfani; Lukasz A. Kurgan (Bioinform., 2010)

Critical assessment of high-throughput standalone methods for secondary structure prediction. - Hua Zhang 011; Tuo Zhang; Ke Chen 003; Kanaka Durga Kedarisetti; Marcin J. Mizianty; Qingbo Bao; Wojciech Stach; Lukasz A. Kurgan (Briefings Bioinform., 2011)

Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors. - Ke Chen 003; Marcin J. Mizianty; Lukasz A. Kurgan (Bioinform., 2012)

Neural Networks in Bioinformatics. - Ke Chen 003; Lukasz A. Kurgan (Handbook of Natural Computing, 2012)

newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation. - Yanping Zhang; Jun Xu 019; Wei Zheng 013; Chen Zhang; Xingye Qiu; Ke Chen 003; Jishou Ruan (Comput. Biol. Chem., 2014)

Quad-PRE: A Hybrid Method to Predict Protein Quaternary Structure Attributes. - Yajun Sheng; Xingye Qiu; Chen Zhang; Jun Xu 019; Yanping Zhang; Wei Zheng 013; Ke Chen 003 (Comput. Math. Methods Medicine, 2014)

Systematic investigation of sequence and structural motifs that recognize ATP. - Ke Chen 003; Dacheng Wang; Lukasz A. Kurgan (Comput. Biol. Chem., 2015)

Reweighted sparse subspace clustering. - Jun Xu 019; Kui Xu 004; Ke Chen 003; Jishou Ruan (Comput. Vis. Image Underst., 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). - Kui Xu 004; Ke Chen 003; Jun Xu 019; Jialin Tian; Hao Liu; Yufan Wang (计算机科学, 2015)

NSiteMatch: Prediction of Binding Sites of Nucleotides by Identifying the Structure Similarity of Local Surface Patches. - Jie Sun 013; Ke Chen 003 (Comput. Math. Methods Medicine, 2017)