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Vincenzo Lagani
Vincenzo Lagani
Verified email at kaust.edu.sa
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Year
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
3052020
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
1302015
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
1132016
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
852012
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
842021
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
842016
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
792013
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
732008
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
662015
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
58*2022
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
542019
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 Rĝe
EBioMedicine 31, 36-46, 2018
502018
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
482018
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
462016
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
442017
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
412018
Feature selection for high-dimensional temporal data
M Tsagris, V Lagani, I Tsamardinos
BMC bioinformatics 19 (1), 1-14, 2018
402018
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
402012
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
392010
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
382014
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Articles 1–20