About Trisevgeni Rapakoulia Trisevgeni Rapakoulia Ph.D., Computer Science bioinformatics machine learning Drug Combinations 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 Articles Related News August 2017 Combinatorial Drug Treatment 1 min read · Thu, Aug 3 2017 News Our work on a promoter- and enhancer-level regression analysis of combinatorial drug treatment accepted by Bioinformatics.
Combinatorial Drug Treatment 1 min read · Thu, Aug 3 2017 News Our work on a promoter- and enhancer-level regression analysis of combinatorial drug treatment accepted by Bioinformatics.
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