University of Wollongong Research Online Faculty of Engineering and Information Faculty of Engineering and Information Sciences - Papers: Part B Sciences 2020 HIME: Mining and Ensembling Heterogeneous Information for Protein Interaction Predictions Huaming Chen
[email protected] Yaochu Jin
[email protected] Lei Wang University of Wollongong,
[email protected] Chi-Hung Chi
[email protected] Jun Shen University of Wollongong,
[email protected] Follow this and additional works at: https://ro.uow.edu.au/eispapers1 Part of the Engineering Commons, and the Science and Technology Studies Commons Recommended Citation Chen, Huaming; Jin, Yaochu; Wang, Lei; Chi, Chi-Hung; and Shen, Jun, "HIME: Mining and Ensembling Heterogeneous Information for Protein Interaction Predictions" (2020). Faculty of Engineering and Information Sciences - Papers: Part B. 4201. https://ro.uow.edu.au/eispapers1/4201 Research Online is the open access institutional repository for the University of Wollongong. For further information contact the UOW Library:
[email protected] HIME: Mining and Ensembling Heterogeneous Information for Protein Interaction Predictions Abstract esearch on protein-protein interactions (PPIs) data paves the way towards understanding the mechanisms of infectious diseases, however improving the prediction performance of PPIs of inter- species remains a challenge. Since one single type of sequence data such as amino acid composition may be deficient for high-quality prediction of protein interactions, we have investigated a broader range of heterogeneous information of sequences data. This paper proposes a novel framework for PPIs prediction based on Heterogeneous Information Mining and Ensembling (HIME) process to effectively learn from the interaction data.