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

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Osteoporosis Due to Hormone Imbalance: An Overview of the Effects of Estrogen Deficiency and Glucocorticoid Overuse on Bone Turnover von Cheng, Chu-Han, Chen, Li-Ru, Chen, Kuo-Hu

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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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Some remarks on predicting multi-label attributes in molecular biosystems von Chou, Kuo-Chen

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pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC von Cheng, Xiang, Xiao, Xuan, 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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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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iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework von Liu, Bin, Long, Ren, 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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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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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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pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC von Cheng, Xiang, Xiao, Xuan, 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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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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Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences von Chen, Wei, Lin, Hao, 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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pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC von Cheng, Xiang, Xiao, Xuan, Chou, Kuo-Chen

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Academic outcomes of flipped classroom learning: a meta‐analysis von Chen, Kuo‐Su, Monrouxe, Lynn, Lu, Yi‐Hsuan, Jenq, Chang‐Chyi, Chang, Yeu‐Jhy, Chang, Yu‐Che, Chai, Pony Yee‐Chee

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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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Uncovering Information Linkages between Bitcoin, Sustainable Finance and the Impact of COVID-19: Fractal and Entropy Analysis von Lu, Kuo-Chen, Chen, Kuo-Shing

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