The following publications are possibly variants of this publication:
- RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence informationHai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, Zhen-Hao Guo, Yan-Bin Wang, Ji-Ren Zhou. bmcbi, 21(1):60, 2020. [doi]
- Using a stacked ensemble learning framework to predict modulators of protein-protein interactionsMengyao Gao, Lingling Zhao, Zitong Zhang, Junjie Wang, Chunyu Wang. cbm, 161:107032, July 2023. [doi]
- A heterogeneous information integration framework for emergency managementGang Kou, Chunwei Lou, Guoxun Wang, Yi Peng 0001, Yu Tang, Shiming Li. interaction 2010: 672-675 [doi]
- EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction predictionJingjing Wang, Yanpeng Zhao, Weikang Gong, Yang Liu, Mei Wang, Xiaoqian Huang, Jianjun Tan. bmcbi, 22(1):133, 2021. [doi]
- LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifierXiao-Nan Fan 0001, Shao-Wu Zhang 0001. ijon, 370:88-93, 2019. [doi]