[1]    Ya-Sen Jiao; Pu-Feng Du*; Predicting protein submitochondrial locations by incorporating the positional-specific physicochemical properties into Chou's general pseudo-amino acid compositions, Journal of Theoretical Biology, 2017, 416: 81-87. (WOS:000396798400009)

[2]    Yasen Jiao; Pufeng Du*; Performance measures in evaluating machine learning based bioinformatics predictors for classifications, Quantitative Biology, 2016, 4(4): 320-330.(CSCD:5881541)

[3]    Ya-Sen Jiao; Pu-Feng Du*; Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: Approaches with minimal redundancy maximal relevance feature selection, Journal of Theoretical Biology, 2016, 402: 38-44.(WOS:000377623700005)

[4]    Ya-Sen Jiao; Pu-Feng Du*; Predicting Golgi-resident protein types using pseudo amino acid compositions: Approaches with positional specific physicochemical properties, Journal of Theoretical Biology, 2016, 391: 35-42.(WOS:000384780000004)

[5]    Ya-Sen Jiao; Pu-Feng Du and Xiaoquan Su; Predicting Golgi-resident proteins in plants by incorporating N-terminal transmembrane domain information in the general form of Chou's pseudoamino acid compositions, 2014 8th International Conference on Systems Biology (ISB), Qingdao, China, 2014, pp. 226-229.(IEEE Xplore)