@article{journals/bioinformatics/ZhangYXLLMASGWL20,
added-at = {2023-06-23T00:00:00.000+0200},
author = {Zhang, Yanju and Yu, Sha and Xie, Ruopeng and Li, Jiahui and Leier, André and Marquez-Lago, Tatiana T. and Akutsu, Tatsuya and Smith, Alexander Ian and Ge, Zongyuan and Wang, Jiawei and Lithgow, Trevor and Song, Jiangning},
biburl = {https://www.bibsonomy.org/bibtex/22a3145425d69f9311d0079ba7bcdb598/dblp},
ee = {https://www.wikidata.org/entity/Q92496141},
interhash = {6ab28c43e7f583798e2e4640c1ab309c},
intrahash = {2a3145425d69f9311d0079ba7bcdb598},
journal = {Bioinform.},
keywords = {dblp},
number = 3,
pages = {704-712},
timestamp = {2024-04-08T20:48:16.000+0200},
title = {PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.},
url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics36.html#ZhangYXLLMASGWL20},
volume = 36,
year = 2020
}