Zhang GY, Fang BS. Application of amino acid distribution along the sequence for discriminating mesophilic and thermophilic proteins. Process Biochem 2006; 41: 1792-8.
Wu LC, Lee JX, Huang HD, et al. An expert system to predict protein thermostability using decision tree. Expert Syst Appl 2009; 36: 9007-14.
Hu L, Chan KC. Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions. EEE/ACM Trans Comput Biol Bioinform 2017; (3): 155-66.
Wei LY, Ding YJ, Su R, et al. Prediction of human protein subcellular localization using deep learning. J Parallel Distrib Comput 2018; 117: 212-7.
Du X, Cheng J, Eds. Inferring protein-protein interactions from sequence using sequence order information. Proceedings of the International Conference on Computer Science & Education 2010. Hefei, China.
Zhu XJ, Feng CQ, Lai HY, et al. Predicting protein structural classes for low-similarity sequences by evaluating different features. Knowl Base Syst 2019; 163: 787-93.
Vyas H, Mathur R. Experimental analysis: Hybrid scheme for face recognition using KPCA & SVD. IEEE International Conference on Computational Intelligence & Communication Technology. Ghaziabad, India. 2015.
Lin H, Liang ZY, Tang H, et al. Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition. IEEE/ACM Trans Comput Biol Bioinform 2019; 16: 1316-21.
Cortes C, Vapnik VJML. Support-vector networks. Med Leaning 1995; 20: 273-97.
Yang W, Zhu XJ, Huang J, et al. A brief survey of machine learning methods in protein sub-Golgi localization. Curr Bioinform 2019; 14: 234-40.
Dao FY, Chen XX, Lin H. Prediction of thermophilic proteins based on physicochemical properties. Chinese J Bioinform 2017; 15(1): 1-6.
Yu L, Sun X, Tian SW, et al. Drug and nondrug classification based on deep learning with various feature selection strategies. Curr Bioinform 2018; 13: 253-9.