Vincenzo Lagani

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Coauteurs

Ioannis TsamardinosProfessor, Computer Science Department, University of CreteAdresse e-mail validée de csd.uoc.gr
Jesper TegnérProfessor. Bio, CS, BioE, STAT,KAUST, Strategic Chaired Professor, Director, Karolinska InstitutetAdresse e-mail validée de kaust.edu.sa
David Gomez-CabreroAssoc. Professor KAUST. Head of the Translational Bioinformatics Unit, Navarrabiomed.Adresse e-mail validée de kaust.edu.sa
Alberto MontesantoUniversità della CalabriaAdresse e-mail validée de unical.it
Giuseppe PassarinoUniversità della CalabriaAdresse e-mail validée de unical.it
Oluf Dimitri RøeMD PhD NTNU, NorwayAdresse e-mail validée de ntnu.no
Maria MarkakiInstitute of Applied and Computational Mathematics, FORTHAdresse e-mail validée de iacm.forth.gr
Sofia TriantafillouUniversity of Crete, University of Pittsburgh, Foundation for Research and Technology - HellasAdresse e-mail validée de uoc.gr
Michail TsagrisDepartment of Economics, University of CreteAdresse e-mail validée de uoc.gr
Georgios PapoutsoglouJADBio, University of CreteAdresse e-mail validée de csd.uoc.gr
Serena DatoAssociate Professor in GeneticsAdresse e-mail validée de unical.it
Kaare ChristensenProfessor, University of Southern DenmarkAdresse e-mail validée de health.sdu.dk
Domenico ConfortiUniversità della Calabria, DIMEG (Dipartimento Ingegneria Meccanica, Energetica, Gestionale)Adresse e-mail validée de unical.it
Paulos CharonyktakisDeloitte Digital, JADBioAdresse e-mail validée de jadbio.com
Nestoras KarathanasisPostdoctoral researcher, The Cyprus Institute of Neurology and GeneticsAdresse e-mail validée de cing.ac.cy
Giorgos BorboudakisJADBioAdresse e-mail validée de jadbio.com
Jagodic MajaKarolinska InstitutetAdresse e-mail validée de ki.se
Angelika SchmidtMerck KGaA, Neuroscience & ImmunologyAdresse e-mail validée de merckgroup.com
Giorgos AthineouComputer Science Department, University of CreteAdresse e-mail validée de csd.uoc.gr
Fredrik PiehlProfessor of neurology, Karolinska InstitutetAdresse e-mail validée de ki.se

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Vincenzo Lagani

Research Scientist, King Abdullah University of Science and Technology

Adresse e-mail validée de kaust.edu.sa

Bioinformatics Causal Analysis Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	333	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	129	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	115	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	92	2016
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	88	2012
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	87	2021
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	79	2013
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
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	68	2015
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	62	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	55	2019
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	52	2018
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	47	2018
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	46	2016
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	44	2017
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	42	2012
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	41	2018
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	39	2010
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	38	2014
Structure-based variable selection for survival data V Lagani, I Tsamardinos Bioinformatics 26 (15), 1887-1894, 2010	38	2010

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