Author

George I. Gavriilidis

Centre for Research and Technology HellasORCID 0000-0003-2575-4354Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

Antonis GiannakakisiD· 2 shared Fotis E PsomopoulosiD· 2 shared Georgios A. PavlopoulosiD· 2 shared Vasileios VasileiouiD· 2 shared Antonis GiakountisiD· 1 shared Evangelos KaratzasiD· 1 shared Georgios KarakatsoulisiD· 1 shared Marek MráziD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Antonis GiannakakisORCID

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Author profile →

2 papers

Recent·Most cited

lncAPNet enables the deciphering of lncRNA and mRNA connections in patient transcriptomic data

Vasileios Vasileiou, George I. Gavriilidis, Pedro Faria Zeni, Marek Mráz, Evangelos Karatzas, Antonis Giakountis, Georgios A. Pavlopoulos, Antonis Giannakakis, F. Psomopoulos

lncAPNet identifies lncRNA-mRNA interactions in cancer transcriptomic data using a graph-based deep learning framework, revealing lncRNA drivers in CLL and PRAD.

Bioinformatics Advances · Jan 1, 2026Peer-reviewedBioinformatics

APNet, an explainable sparse deep learning model to discover differentially active drivers of severe COVID-19

George I. Gavriilidis, Vasileios Vasileiou, Stella Dimitsaki, Georgios Karakatsoulis, Antonis Giannakakis, Georgios A. Pavlopoulos, Fotis E Psomopoulos

APNet identifies differentially active drivers of severe COVID-19 using a sparse deep learning model combined with co-expression networks, outperforming existing methods in patient classification.

Bioinformatics · Feb 5, 2025Peer-reviewedSystems Biology