Some remarks on protein attribute prediction and pseudo amino acid composition von Chou, Kuo-Chen

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2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function von Liu, Bin, Yang, Fan, Chou, Kuo-Chen

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Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization von Chou, Kuo-Chen, Shen, Hong-Bin

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pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information von Cheng, Xiang, Xiao, Xuan, Chou, Kuo-Chen

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iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition von Liu, Bin, Xu, Jinghao, Lan, Xun, Xu, Ruifeng, Zhou, Jiyun, Wang, Xiaolong, Chou, Kuo-Chen

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Identification of real microRNA precursors with a pseudo structure status composition approach von Liu, Bin, Fang, Longyun, Liu, Fule, Wang, Xiaolong, Chen, Junjie, Chou, Kuo-Chen

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pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC von Cheng, Xiang, Xiao, Xuan, Chou, Kuo-Chen

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iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition von Xu, Yan, Ding, Jun, Wu, Ling-Yun, Chou, Kuo-Chen

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iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins von Chou, Kuo-Chen, Wu, Zhi-Cheng, Xiao, Xuan

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Progresses in Predicting Post-translational Modification von Chou, Kuo-Chen

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Insights into the mutation-induced HHH syndrome from modeling human mitochondrial ornithine transporter-1 von Wang, Jing-Fang, Chou, Kuo-Chen

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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data von Chen, Zhen, Zhao, Pei, Li, Fuyi, Marquez-Lago, Tatiana T, Leier, André, Revote, Jerico, Zhu, Yan, Powell, David R, Akutsu, Tatsuya, Webb, Geoffrey I, Chou, Kuo-Chen, Smith, A Ian, Daly, Roger J, Li, Jian, Song, Jiangning

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Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences von Chen, Wei, Lin, Hao, Chou, Kuo-Chen

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repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects von Liu, Bin, Liu, Fule, Fang, Longyun, Wang, Xiaolong, Chou, Kuo-Chen

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iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC von Feng, Pengmian, Ding, Hui, Yang, Hui, Chen, Wei, Lin, Hao, Chou, Kuo-Chen

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A new method for predicting the subcellular localization of eukaryotic proteins with both single and multiple sites: Euk-mPLoc 2.0 von Chou, Kuo-Chen, Shen, Hong-Bin

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iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites von Song, Jiangning, Wang, Yanan, Li, Fuyi, Akutsu, Tatsuya, Rawlings, Neil D, Webb, Geoffrey I, Chou, Kuo-Chen

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Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes von CHOU, Kuo-Chen

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A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites von Xiao, Xuan, Wu, Zhi-Cheng, Chou, Kuo-Chen

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iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites von Chen, Wei, Feng, Pengmian, Yang, Hui, Ding, Hui, Lin, Hao, Chou, Kuo-Chen

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