Trisevgeni Rapakoulia

Trisevgeni Rapakoulia obtained her Ph.D. degree (2016-2019) in Computer Science under the supervision of Professor Xin Gao at structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST).

Research Interests

Trisevgeni's research interests include bioinformatics, System Biology, Prediction of harmful SNPs, Genome-Wide Association Studies and Artificial Intelligence, Machine Learning Approaches, Evolutionary Algorithms, Feature Selection Techniques.

Research field: study the effects of drugs and drug combinations in the transcriptome level.

Selected Publications

Dimitrios Tsolis, Sofia Stamou, Paraskevi Christia, Soultana Kampana, TriseugeniRapakoulia, Maria Skouta and Athanasios Tsakalidis. An Adaptive and Personalized Open Source e-Learning Platform. Elsevier International Journal Procedia – Social and Behavioral Sciences, vol. 9, pp. 38-43, 2010.

Education Profile

2013: Master's degree in "Informatics of Life Sciences". Specialization:
Bioinformatics. Department of Medicine, University of Patras, Greece.
2010: Diploma from Department of Computer Engineering & Informatics,
University of Patras, Greece.

Selected Publications

Rapakoulia, T., Gao, X., Huang, Y., de Hoon, M., Okada-Hatakeyama, M., Suzuki, H., & Arner, E. (2017). Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment. Bioinformatics, 33(23), 3696–3700. doi:10.1093/bioinformatics/btx503

Handle

10754/625365

DOI

10.1093/bioinformatics/btx503

Altmetrics

Rapakoulia, T., Theofilatos, K., Kleftogiannis, D., Likothanasis, S., Tsakalidis, A., & Mavroudi, S. (2014). EnsembleGASVR: a novel ensemble method for classifying missense single nucleotide polymorphisms. Bioinformatics, 30(16), 2324–2333. doi:10.1093/bioinformatics/btu297