CRISPR–Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning V Konstantakos, A Nentidis, A Krithara, G Paliouras Nucleic Acids Research 50 (7), 3616-3637, 2022 | 96 | 2022 |
A Multi-Label Classifier for Predicting the Most Appropriate Instrumental Method for the Analysis of Contaminants of Emerging Concern N Alygizakis, V Konstantakos, G Bouziotopoulos, E Kormentzas, ... Metabolites 12 (3), 199, 2022 | 5 | 2022 |
CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions V Konstantakos, A Nentidis, A Krithara, G Paliouras Nucleic Acids Research 50 (W1), W191-W198, 2022 | 4 | 2022 |
Omentin Is Independently Associated with Stroke Severity and Ipsilateral Carotid Artery Stenosis in Patients with Acute Cerebral Ischemia M Chondrogianni, V Lambadiari, AH Katsanos, MI Stefanou, ... Journal of Clinical Medicine 10 (24), 5797, 2021 | 4 | 2021 |
Delayed recurrent enhancing white matter lesions complicating coiling of intracranial aneurysm E Bakola, AH Katsanos, L Palaiodimou, A Theodorou, MI Stefanou, ... European Journal of Neurology 28 (7), 2388-2391, 2021 | 3 | 2021 |
CRISPRedict: The case for simple and interpretable efficiency prediction for CRISPR-Cas9 gene editing V Konstantakos, A Nentidis, A Krithara, G Paliouras bioRxiv, 2022.04. 07.486362, 2022 | 1 | 2022 |
Modeling the off-target effects of CRISPR-Cas9 experiments for the treatment of Duchenne Muscular Dystrophy E Koutsoni, V Konstantakos, A Nentidis, A Krithara, G Paliouras Proceedings of the 12th Hellenic Conference on Artificial Intelligence, 1-7, 2022 | | 2022 |