Voting-Based Ensemble Method for Prediction of Bioactive Molecules
Published in International Conference on Knowledge Engineering and Applications (ICKEA), IEEE, 2017
Recommended citation: Petinrin, O. O., Saeed, F., & Al-Hadhrami, T. (2017, October). "Voting-based ensemble method for prediction of bioactive molecules". In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA) (pp. 118-122). IEEE. https://doi.org/10.1109/ICKEA.2017.8169913
In this study, we utilize voting ensembe in the prediction of bioactive molecular compounds for drug discovery, using a chemical dataset of 8294 instances and 1024 attributes retrieved from the MDL Drug Data Report (MDDR).
Recommended citation: Petinrin, O. O., Saeed, F., & Al-Hadhrami, T. (2017, October). “Voting-based ensemble method for prediction of bioactive molecules”. In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA) (pp. 118-122). IEEE.