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Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh, Sanchit Sindhwani & Smitarani Pati. (2022) EightyDVec: a method for protein sequence similarity analysis using physicochemical properties of amino acids. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 10:1, pages 3-13.
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Xuan Xiao, Xiang Cheng, Genqiang Chen, Qi Mao & Kuo-Chen Chou. (2019) pLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset. Medicinal Chemistry 15:5, pages 496-509.
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Jiaxiang Wu, Guozhao Mai, Bowen Deng, Jeong Younseo, Dongsu Du, Fuxue Chen & Qiaorong Ma. (2019) Quantitative Structure-activity Relationship of Acetylcholinesterase Inhibitors based on mRMR Combined with Support Vector Regression. Letters in Organic Chemistry 16:4, pages 311-316.
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Jianhua Jia, Xiaoyan Li, Wangren Qiu, Xuan Xiao & Kuo-Chen Chou. (2019) iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC. Journal of Theoretical Biology 460, pages 195-203.
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Xiang Cheng, Xuan Xiao & Kuo-Chen Chou. (2018) pLoc_bal-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC. Journal of Theoretical Biology 458, pages 92-102.
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Zhe Ju & Shi-Yun Wang. (2018) Prediction of S-sulfenylation sites using mRMR feature selection and fuzzy support vector machine algorithm. Journal of Theoretical Biology 457, pages 6-13.
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Wei Chen, Hui Ding, Xu Zhou, Hao Lin & Kuo-Chen Chou. (2018) iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition. Analytical Biochemistry 561-562, pages 59-65.
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Lei Xu, Guangmin Liang, Longjie Wang & Changrui Liao. (2018) A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides. Genes 9:3, pages 158.
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Wang-Ren Qiu, Bi-Qian Sun, Xuan Xiao, Dong Xu & Kuo-Chen Chou. (2017) iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory. Molecular Informatics 36:5-6, pages 1600010.
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Wenbing Hou, Qiuhui Pan, Qianying Peng & Mingfeng He. (2017) A new method to analyze protein sequence similarity using Dynamic Time Warping. Genomics 109:2, pages 123-130.
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Bin Liu, Hao Wu & Kuo-Chen Chou. (2017) Pse-in-One 2.0: An Improved Package of Web Servers for Generating Various Modes of Pseudo Components of DNA, RNA, and Protein Sequences. Natural Science 09:04, pages 67-91.
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Akinori Awazu. (2017) Prediction of nucleosome positioning by the incorporation of frequencies and distributions of three different nucleotide segment lengths into a general pseudo k-tuple nucleotide composition. Bioinformatics 33:1, pages 42-48.
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Wei Chen, Hui Ding, Pengmian Feng, Hao Lin & Kuo-Chen Chou. (2016) iACP: a sequence-based tool for identifying anticancer peptides. Oncotarget 7:13, pages 16895-16909.
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Cong Pian, Jin Zhang, Yuan-Yuan Chen, Zhi Chen, Qin Li, Qiang Li & Liang-Yun Zhang. (2016) OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features. Journal of Bioinformatics and Computational Biology 14:01, pages 1650006.
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Shengli Zhang. (2015) Accurate prediction of protein structural classes by incorporating PSSS and PSSM into Chou's general PseAAC. Chemometrics and Intelligent Laboratory Systems 142, pages 28-35.
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Wei Chen, Hao Lin & Kuo-Chen Chou. (2015) Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Molecular BioSystems 11:10, pages 2620-2634.
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Shou-Hui Guo, En-Ze Deng, Li-Qin Xu, Hui Ding, Hao Lin, Wei Chen & Kuo-Chen Chou. (2014) iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics 30:11, pages 1522-1529.
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Liang Kong, Lichao Zhang & Jinfeng Lv. (2014) Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition. Journal of Theoretical Biology 344, pages 12-18.
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Hui Ding, En-Ze Deng, Lu-Feng Yuan, Li Liu, Hao Lin, Wei Chen & Kuo-Chen Chou. (2014) iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels. BioMed Research International 2014, pages 1-10.
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