| GluA2 mRNA distribution and regulation by miR-124 in hippocampal neurons VM Ho, LO Dallalzadeh, N Karathanasis, MF Keles, S Vangala, T Grogan, ... Molecular and Cellular Neuroscience 61, 1-12, 2014 | 41 | 2014 |
| Prediction of miRNA targets A Oulas, N Karathanasis, A Louloupi, GA Pavlopoulos, P Poirazi, ... RNA Bioinformatics, 207-229, 2015 | 32 | 2015 |
| MiRduplexSVM: a high-performing miRNA-duplex prediction and evaluation methodology N Karathanasis, I Tsamardinos, P Poirazi PloS one 10 (5), e0126151, 2015 | 18 | 2015 |
| A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2 A Oulas, N Karathanasis, A Louloupi, I Iliopoulos, K Kalantidis, P Poirazi RNA biology 9 (9), 1196-1207, 2012 | 18 | 2012 |
| Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression E Ewing, L Kular, SJ Fernandes, N Karathanasis, V Lagani, S Ruhrmann, ... EBioMedicine 43, 411-423, 2019 | 17 | 2019 |
| Finding cancer-associated miRNAs: methods and tools A Oulas, N Karathanasis, A Louloupi, P Poirazi Molecular biotechnology 49 (1), 97-107, 2011 | 10 | 2011 |
| omicsNPC: applying the non-parametric combination methodology to the integrative analysis of heterogeneous omics data N Karathanasis, I Tsamardinos, V Lagani PloS one 11 (11), e0165545, 2016 | 8 | 2016 |
| Computational identification of miRNAs involved in cancer A Oulas, N Karathanasis, P Poirazi MicroRNA and Cancer, 23-41, 2011 | 8 | 2011 |
| Don't use a cannon to kill the… miRNA mosquito N Karathanasis, I Tsamardinos, P Poirazi Bioinformatics 30 (7), 1047-1048, 2014 | 6 | 2014 |
| Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients SJ Fernandes, H Morikawa, E Ewing, S Ruhrmann, RN Joshi, V Lagani, ... Scientific reports 9 (1), 1-12, 2019 | 4 | 2019 |
| Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ... BioRxiv, 796029, 2019 | 4 | 2019 |
| Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ... Life science alliance 3 (11), 2020 | 3 | 2020 |
| Machine learning approaches identify genes containing spatial information from single-cell transcriptomics data P Loher, N Karathanasis Frontiers in genetics 11, 1743, 2021 | 1 | 2021 |
| STATegra: Multi-Omics Data Integration–A Conceptual Scheme With a Bioinformatics Pipeline N Planell, V Lagani, P Sebastian-Leon, F Van Der Kloet, E Ewing, ... Frontiers in genetics 12, 143, 2021 | | 2021 |
| IsoMiRmap—fast, deterministic, and exhaustive mining of isomiRs from short RNA-seq datasets P Loher, N Karathanasis, E Londin, P Bray, V Pliatsika, AG Telonis, ... Bioinformatics, 2021 | | 2021 |
| Machine Learning Approaches Identify Genes Containing Spatial Information from Single-Cell Transcriptomics Data N Karathanasis, P Loher Frontiers in Genetics 11, 1743, 2020 | | 2020 |
| A bioinformatics approach for investigating the determinants of Drosha processing N Karathanasis, I Tsamardinos, P Poirazi 13th IEEE International Conference on BioInformatics and BioEngineering, 1-4, 2013 | | 2013 |
| Study of miRNA–mRNA interactions related with cancer N Karathanasis Πανεπιστήμιο Κρήτης. Σχολή Θετικών και Τεχνολογικών Επιστημών. Τμήμα Βιολογίας, 2013 | | 2013 |
| Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics J Tanevski, T Nguyen, B Truong, N Karaiskos, M Eren, X Zhang, C Shu, ... Life Science Alliance, 0 | | |
| Single Cell Transcriptomics Challenge-DeepCMC Submission N Karathanasis, P Loher, I Rigoutsos | | |
