| An integrated gene expression landscape profiling approach to identify lung tumor endothelial cell heterogeneity and angiogenic candidates J Goveia, K Rohlenova, F Taverna, L Treps, LC Conradi, A Pircher, ... Cancer cell 37 (1), 21-36. e13, 2020 | 402 | 2020 |
| Performance-estimation properties of cross-validation-based protocols with simultaneous hyper-parameter optimization I Tsamardinos, A Rakhshani, V Lagani International Journal on Artificial Intelligence Tools 24 (05), 1540023, 2015 | 145 | 2015 |
| Feature selection with the r package mxm: Discovering statistically-equivalent feature subsets V Lagani, G Athineou, A Farcomeni, M Tsagris, I Tsamardinos arXiv preprint arXiv:1611.03227, 2016 | 135 | 2016 |
| Meta‐analysis of clinical metabolic profiling studies in cancer: challenges and opportunities J Goveia, A Pircher, LC Conradi, J Kalucka, V Lagani, M Dewerchin, ... EMBO molecular medicine 8 (10), 1134-1142, 2016 | 100 | 2016 |
| Dysautonomia and clinical outcome in vegetative state G Dolce, M Quintieri, E Leto, M Milano, A Pileggi, V Lagani, L Pignolo Journal of Neurotrauma 38 (10), 1441-1444, 2021 | 93 | 2021 |
| Frailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty S Dato, A Montesanto, V Lagani, B Jeune, K Christensen, G Passarino Age 34, 571-582, 2012 | 93 | 2012 |
| Just Add Data: automated predictive modeling for knowledge discovery and feature selection I Tsamardinos, P Charonyktakis, G Papoutsoglou, G Borboudakis, ... NPJ precision oncology 6 (1), 38, 2022 | 85 | 2022 |
| A systematic review of predictive risk models for diabetes complications based on large scale clinical studies V Lagani, L Koumakis, F Chiarugi, E Lakasing, I Tsamardinos Journal of Diabetes and its Complications 27 (4), 407-413, 2013 | 82 | 2013 |
| Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data V Lagani, F Chiarugi, S Thomson, J Fursse, E Lakasing, RW Jones, ... Journal of Diabetes and its Complications 29 (4), 479-487, 2015 | 74 | 2015 |
| Clinical signs and early prognosis in vegetative state: a decisional tree, data-mining study G Dolce, M Quintieri, S Serra, V Lagani, L Pignolo Brain Injury 22 (7-8), 617-623, 2008 | 71 | 2008 |
| 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 | 66 | 2019 |
| Constraint-based causal discovery with mixed data M Tsagris, G Borboudakis, V Lagani, I Tsamardinos International journal of data science and analytics 6, 19-30, 2018 | 65 | 2018 |
| A validated clinical risk prediction model for lung cancer in smokers of all ages and exposure types: a HUNT study M Markaki, I Tsamardinos, A Langhammer, V Lagani, K Hveem, OD Røe EBioMedicine 31, 36-46, 2018 | 62 | 2018 |
| On scoring maximal ancestral graphs with the max–min hill climbing algorithm K Tsirlis, V Lagani, S Triantafillou, I Tsamardinos International Journal of Approximate Reasoning 102, 74-85, 2018 | 54 | 2018 |
| Predicting causal relationships from biological data: Applying automated causal discovery on mass cytometry data of human immune cells S Triantafillou, V Lagani, C Heinze-Deml, A Schmidt, J Tegner, ... Scientific reports 7 (1), 12724, 2017 | 51 | 2017 |
| Probabilistic computational causal discovery for systems biology V Lagani, S Triantafillou, G Ball, J Tegnér, I Tsamardinos Uncertainty in biology: a computational modeling approach, 33-73, 2016 | 49 | 2016 |
| Towards integrative causal analysis of heterogeneous data sets and studies I Tsamardinos, S Triantafillou, V Lagani The Journal of Machine Learning Research 13 (1), 1097-1157, 2012 | 46 | 2012 |
| Association between IGF‐1 levels ranges and all‐cause mortality: A meta‐analysis J Rahmani, A Montesanto, E Giovannucci, H Zand, M Barati, JJ Kopchick, ... Aging Cell 21 (2), e13540, 2022 | 42 | 2022 |
| Contribution of genetic polymorphisms on functional status at very old age: a gene-based analysis of 38 genes (311 SNPs) in the oxidative stress pathway S Dato, M Soerensen, V Lagani, A Montesanto, G Passarino, ... Experimental Gerontology 52, 23-29, 2014 | 42 | 2014 |
| A novel, population-specific approach to define frailty A Montesanto, V Lagani, C Martino, S Dato, F De Rango, M Berardelli, ... Age 32, 385-395, 2010 | 42 | 2010 |
Ioannis TsamardinosProfessor, Computer Science Department, University of CreteVerified email at csd.uoc.gr
