Felitsiya Shakola, PhD

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Felitsiya Shakola, PhD

Experienced Researcher

R Research and innovation

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My research focusses on Bioinformatics. Big data analysis in Biomedicine gives us new insights about disease mechanisms, better design of clinical trials, faster diagnostic process and targeted therapies.

Felitsiya Shakola is part of the Digital Health research group of GATE Institute. She is participating in projects concerned with data analysis for research and clinical trials.

Felitsiya Shakola obtained a master’s degree in Bio- and medical informatics (2019) from Sofia University “St. Kliment Ohridski” and a PhD in Biological Sciences (2016) from St. John’s University New York, USA.

Publications

Shakola F., Simeonova V., Ivanov I., Comparison of four classification methods on high-dimensional small-sample-size synthetic NGS data Studies in Computational Intelligence, Springer,

Shakola, F., Palejev, D., Ivanov, I. , Comparative Study of Synthetic Bulk RNA-Seq Generators In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13347. Springer, Cham.,

Shakola, F.; Palejev, D.; Ivanov, I., A Framework for Comparison and Assessment of Synthetic RNA-Seq Data Genes 2022, 13, 2362,