Vassilis G. Gorgoulis

Deep learning: shaping the medicine of tomorrow

Konstantinos Vougas, Spyridon Almpanis, Vassilis G. Gorgoulis, 2020, Molecular & cellular oncology.

Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer. A Personalised Medicine Approach

Konstantinos Vougas, Vassilis G. Gorgoulis, Jiri Bartek, 2016, bioRxiv.

Analytic methods for systems medicine

Vassilis G. Gorgoulis, Gkikas Magiorkinis, Panagiotis Vasileiou, 2020 .

A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced senescence

Jiri Bartek, Wojciech Fendler, Konrad Stawiski, 2018, BMC Genomics.

An Oncogene-Induced DNA Damage Model for Cancer Development

Jiri Bartek, Vassilis G. Gorgoulis, J. Bartek, 2008, Science.

Activation of the DNA damage checkpoint and genomic instability in human precancerous lesions

Dimitris Kletsas, Vassilis G. Gorgoulis, Meenhard Herlyn, 2005, Nature.

Cdc6 expression represses E-cadherin transcription and activates adjacent replication origins

Aristides G. Eliopoulos, Alexandros G. Georgakilas, Vassilis G. Gorgoulis, 2011, The Journal of cell biology.

Mutational signatures reveal the role of RAD52 in p53-independent p21-driven genomic instability

Jiri Bartek, Zvi Livneh, Zoi Lygerou, 2018, Genome Biology.

Robust, universal biomarker assay to detect senescent cells in biological specimens

Dimitris Kletsas, Jiri Bartek, Manuel Serrano, 2016, Aging cell.