Scientific Journal Publications

  1. Panagiotopoulos, K., Korfiati, A., Theofilatos, K., Hurwitz, P., Deriu, M. A., & Mavroudi, S. (2023). MEvA-X: A Hybrid Multi-Objective Evolutionary Tool Using an XGBoost Classifier for Biomarkers Discovery on Biomedical Datasets. Bioinformatics, btad384. DOI: https://doi.org/10.1093/bioinformatics/btad384
  2. Pallante, L., Korfiati, A., Androutsos, L., Stojceski, F., Bompotas, A., Giannikos, I., … & Deriu, M. A. (2022). Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach. Scientific Reports, 12(1), 21735. https://www.nature.com/articles/s41598-022-25935-3
  3. Malavolta, M., Pallante, L., Mavkov, B., Stojceski, F., Grasso, G., Korfiati, A., … & Deriu, M. A. (2022). A survey on computational taste predictors. European Food Research and Technology, 248(9), 2215-2235. https://link.springer.com/article/10.1007/s00217-022-04044-5
  4. Gudin, J., Mavroudi, S., & Korfiati, A. Personalized Pain Therapy: Artificial Intelligence (AI) Utilized to Predict Patient Response to OTC Topical Analgesics. Anesth Pain Res. 2021; 5 (1): 1-11. Correspondence: Peter Hurwitz, Clarity Science LLC, 750.
  5. Grafanaki, K., Skeparnias, I., Kontos, C. K., Anastasakis, D., Korfiati, A., Kyriakopoulos, G., … & Drainas, D. (2021). Pharmacoepigenomics circuits induced by a novel retinoid-polyamine conjugate in human immortalized keratinocytes. The Pharmacogenomics Journal, 21(6), 638-648. https://www.nature.com/articles/s41397-021-00241-9
  6. Pallante, L., Malavolta, M., Grasso, G., Korfiati, A., Mavroudi, S., Mavkov, B., … & Deriu, M. A. (2021). On the human taste perception: Molecular-level understanding empowered by computational methods. Trends in Food Science & Technology, 116, 445-459. DOI: https://doi.org/10.1016/j.tifs.2021.07.013
  7. Giotopoulou, G. A., Ntaliarda, G., Μarazioti, A., Lilis, I., Spiropoulou, N., Kalogianni, F., … & Stathopoulos, G. T. (2021). cAMP response element-binding protein mediates immune-evasion of KRAS-mutant lung adenocarcinoma.
  8. Marazioti, A., Voulgaridis, A., Psallidas, I., Lamort, A., Iliopoulou, M., Krontira, A. C., … & Stathopoulos, G. T. (2020). Clinical identification of malignant pleural effusions.
  9. Gudin, J., Mavroudi, S., Korfiati, A., Theofilatos, K., Dietze, D., & Hurwitz, P. (2020). Reducing opioid prescriptions by identifying responders on topical analgesic treatment using an individualized medicine and predictive analytics approach. Journal of pain research, 13, 1255. DOI: https://www.dovepress.com/reducing-opioid-prescriptions-by-identifying-responders-on-topical-ana-peer-reviewed-article-JPR.
  10. Theofilatos, K., Korfiati, A., Mavroudi, S., Cowperthwaite, M. C., & Shpak, M. (2019). Discovery of stroke-related blood biomarkers from gene expression network models. BMC medical genomics, 12(1), 118. DOI: https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-019-0566-8.
  11. Düzgün, M. B., Theofilatos, K., Georgakilas, A. G., & Pavlopoulou, A. (2019). A Bioinformatic Approach for the Identification of Molecular Determinants of Resistance/Sensitivity to Cancer Thermotherapy. Oxidative Medicine and Cellular Longevity, 2019. DOI: https://www.hindawi.com/journals/omcl/2019/4606219/.
  12. Corthesy, J., Theofilatos, K., Mavroudi, S., Macron, C., Cominetti, O., Remlawi, M., … & Dayon, L. (2018). An adaptive pipeline to maximize isobaric tagging data in large-scale MS-based proteomics. Journal of proteome research. DOI: http://dx.doi.org/10.1021/acs.jproteome.8b00110.
  13. Korfiati, A., Theofilatos, K., Alexakos, C., & Mavroudi, S. (2017). InSyBio ncRNASeq: A web tool for analyzing non-coding RNAs. EMBnet. journal, 23, e882. DOI: http://dx.doi.org/10.14806/ej.23.0.882.
  14. Theofilatos, K., Dimitrakopoulos, C., Alexakos, C., Korfiati, A., Likothanassis, S., & Mavroudi, S. (2016). InSyBio BioNets: an efficient tool for network-based biomarker discovery. EMBnet. journal, 22, e871. DOI: http://dx.doi.org/10.14806/ej.22.0.871.
  15. Dimitrakopoulos, C., Theofilatos, K., Pegkas, A., Likothanassis, S. and Mavroudi, S. (2016). Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods. Artificial intelligence in medicine, 71, 62-69. DOI: https://doi.org/10.1016/j.artmed.2016.05.006.
  16. Nikitaki, Z., et al. (2016). “Systemic mechanisms and effects of ionizing radiation: A new ‘old’ paradigm of how the bystanders and distant can become the players.” Seminars in cancer biology. Academic Press. DOI: https://dx.doi.org/10.1016/j.semcancer.2016.02.002.
  17. Theofilatos, K., Likothanassis, S., & Mavroudi, S. (2015). Quo vadis Computational analysis of PPI data or why the future isn’t here yet. Frontiers in genetics, 6, 289. DOI: https://doi.org/10.3389/fgene.2015.00289.
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