Wang, YanDu, WeiLiang, YanchunChen, XinZhang, ChiPang, WeiXu, YingLi, JinyanLi, XueWang, ShuliangLi, JianxinSheng, Quan Z.2017-11-142017-11-142016Wang, Y, Du, W, Liang, Y, Chen, X, Zhang, C, Pang, W & Xu, Y 2016, PUEPro : A Computational Pipeline for Prediction of Urine Excretory Proteins. in J Li, X Li, S Wang, J Li & Q Z Sheng (eds), Advanced Data Mining and Applications : 2th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Lecture Notes in Artificial Intelligence (LNAI), Springer International Publishing, pp. 714-725, ADMA 2016, Gold Coast, Australia, 12/12/16. https://doi.org/10.1007/978-3-319-49586-6_51conference978-3-319-49585-9978-3-319-49586-6ORCID: /0000-0002-1761-6659/work/59923285http://hdl.handle.net/2164/9596This work is supported by the National Natural Science Foundation of China (Grant Nos. 81320108025, 61402194, 61572227), Development Project of Jilin Province of China (20140101180JC) and China Postdoctoral Science Foundation (2014T70291).12616218engurine excretory proteinssupport vector machine recursive feature eliminationbiomarkers of diseaseQA75 Electronic computers. Computer scienceQA75Conference item10.1007/978-3-319-49586-6_51