Computational Biology and Machine Learning Laboratory: Publications

Publications

2018	Drug response prediction by ensemble learning and drug-induced gene expression signatures M. Tan, O.F. Özgül, B. Bardak, I. Ekşioğlu, and S. Sabuncuoğlu. Genomics.
	Predicting drug activity by image encoded gene expression profiles. O.F. Özgül, B. Bardak, and M. Tan. In 26th Signal Processing and Communications Applications Conference (SIU).
2017	Edge distance graph kernel and its application to small molecule classification. M. Tan. Turkish Journal of Electrical Engineering & Computer Sciences.
	Disease outbreak prediction by data integration and multi-task learning. B.Bardak and M. Tan. IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).
2016	Prediction of anti-cancer drug response by kernelized multi-task learning. M. Tan. Artificial Intelligence in Medicine.
	Anti-cancer drug activity prediction by ensemble learning. E. Tolan and M. Tan. International Conference on Knowledge Discovery and Information Retrieval.
	Biological Network Derivation by Positive Unlabeled Learning Algorithms. D. Pancaroglu and M. Tan. Current Bioinformatics.
2015	Prediction of Influenza Outbreaks by Integrating Wikipedia Article Access Logs and Google Flu Trend Data. B. Bardak and M. Tan. IEEE International Conference on Bioinformatics & Bioengineering (BIBE 2015).
2014	Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles. M. Tan. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014).
	Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction. D. Pancaroglu and M. Tan. 8th International Conference on Practical Applications of Computational Biology \& Bioinformatics (PACBB 2014).
2013	Information theoretic feature selection for Weisfeiler-Lehman graph kernels. M. Tan. Proceedings of International Conference on Bioinformatics and Computational Biology (BICOB).
2012	Positive unlabeled learning for deriving protein interaction networks. C. Kilic and M. Tan. Network Modeling Analysis in Health Informatics and Bioinformatics 1(3).