Bioinformatics, Associate Professor

Prof Lagani obtained his PhD in Operations Research at the University of Calabria in 2009. Before joining Ilia State University in April 2018, he worked as post-doc and contractual research at the Foundation for Research and Technology – Hellas (FORTH) and the University of Crete.
During his carrier, Prof Lagani has (co-)authored 30+ scientific publications , participated in several international research projects, and co-founded Gnosis Data Analysis, a University of Crete spin-off.

Scientific interests / research interests

Developing statistical and machine learning methods for high dimensional data. Analysis of biomedical data, omics data integration

Featured publications

  • Maria Markaki, Ioannis Tsamardinos, Arnulf Langhammer, Vincenzo Lagani, Kristian Hveem, Oluf Dimitri Røe. (2018) A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT Study. EBioMedicine
  • Michail Tsagris, Vincenzo Lagani and Ioannis Tsamardinos (2018). Feature selection for high-dimensional temporal data. BMC Bioinformatics, 19:17 DOI:
  • Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos (2017). Feature Selection with the R Package MXM: Discovering Multiple, Statistically-Equivalent, Predictive Feature Subsets. Journal of Statistical Software 80(7), doi:10.18637/jss.v080.i07.
  • Georgios Papoutsoglou*, Georgios Athineou*, Vincenzo Lagani*, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Elias, Jesper Tegner and Ioannis Tsamardinos. (2017). SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Research. doi:10.1093/nar/gkx448 (* first co-authors)
  • Sofia Triantafillou*, Vincenzo Lagani*, Christina Heinze-Deml, Angelika Schmidt, Jesper Tegner, Ioannis Tsamardinos (2017). Predicting Causal Relationships from Biological Data: Applying Automated Casual Discovery on Mass Cytometry Data of Human Immune Cells. Scientific Reports 7(1):12724. doi: 10.1038/s41598-017-08582-x. (* first co-authors)
  • Nestoras Karathanatis, Ioannis Tsamardinos, Vincenzo Lagani* (2016). omicsNPC: applying the Non-Parametric Combination methodology to the integrative analysis of heterogeneous omics data. Plos ONE 11(11): e0165545. doi:10.1371/journal.pone.0165545 (* corresponding author)
  • Jermaine Goveia, Andreas Pircher, Lena-Christin Conradi, Joanna Kalucka, Vincenzo Lagani, Mieke Dewerchin, Guy Eelen, Ralph J. De Berardinis, Ian Wilson and Peter Carmeliet (2016). Meta-Analysis of Clinical Metabolic Profiling Studies in Cancer: Challenges and Opportunities. EMBO Molecular Medicine, 4;8(10):1134-1142


  • Vincenzo Lagani, Sofia Triantafillou, Gordon Ball, Jesper Tegner, Ioannis Tsamardinos (2016). Probabilistic Computational Causal Discovery for Systems Biology. In Uncertainty in Biology, Liesbet Gerisa and David Gomez-Cabrero, editors. Springer International Publishing.

Articles in magazines


Articles in newspapers


An extensive list of publications

  • Marios Adamou, Grigoris Antoniou, Elissavet Greassidou, Vincenzo Lagani, Paulos Charonyktakis, and Ioannis Tsamardinos (2018). Towards Automatic Risk Assessment to Support Suicide Prevention. Accepted to Crisis: The Journal of Crisis Intervention and Suicide Prevention.
  • Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani and Ioannis Tsamardinos (2018). Constraint-based causal discovery with mixed data. International Journal of Data Science and Analytics
  • Ioannis Tsamardinos, Amin Rakhshani, Vincenzo Lagani (2015). Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization. International Journal on Artificial Intelligence Tools, 24(5).
  • Vincenzo Lagani, Franco Chiarugi, Shona Thomson, Jo Fursse, Edin Lakasing, Russell W. Jones and Ioannis Tsamardinos (2015). Development and Validation of Risk Assessment Models for Diabetes-Related Complications based on the DCCT/EDIC Data. Journal of Diabetes and its Complications 29(4):479-487.
  • Vincenzo Lagani, Franco Chiarugi, Dimitris Manousos, Vivek Verma, Joanna Fursse, Kostas Marias, Ioannis Tsamardinos (2015). Realization of a service for the long-term risk assessment of diabetes-related complications. Journal of Diabetes and its Complications, 29(5):691-698.
  • Kerkentzes K, Lagani V, Tsamardinos I, Vyberg M and Røe OD (2014). Hidden treasures in “ancient” microarrays: Gene expression portrays biology and potential resistance pathways of major lung cancer subtypes and normal tissue. Frontiers Oncology, 4:251
  • Serena Dato, Mette Soeresen, Vincenzo Lagani, Alberto Montesanto, Giovanni Passarino, Kaare Christensen and Lene Christiansen (2014). 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. Experimental Gerontology, 52:23-29.
  • Vincenzo Lagani, Georges Kortas and Ioannis Tsamardinos (2013). Biomarker signature identification in “omics” data with multi-class outcome. Computational and Structural Biotechnology Journal (CSBJ), 6(7):
  • Vincenzo Lagani, Lefteris Koumakis, Franco Chiarugi, Edin Lakasing and Ioannis Tsamardinos (2013). A systematic review of predictive risk models for diabetes complications based on large scale clinical studies. Journal of Diabetes and its Complications, 27(4):407-413.
  • Francesco Arcuri, Lucia F Lucca, Vincenzo Lagani, Vera Rosadini, Giuseppe Mercurio, Anna Mazzucchi (2013). Evaluation of autonomies in the severely brain injured: the Progression of Autonomies Scale. Functional Neurology, 28(1):29-38.
  • Serena Dato, Mette Soerensen, Alberto Montesanto, Vincenzo Lagani, Giuseppe Passarino, Kaare Christensen and Lene Christiansen (2012). UCP3 polymorphisms, hand grip performance and survival at old age: association analysis in two Danish middle aged and elderly cohorts. Mechanisms of Ageing and Development, 133(8):530-537.
  • Ioannis Tsamardinos, Sofia Triantafillou and Vincenzo Lagani. Towards integrative causal analysis of heterogeneous data sets and studies (2012). JMLR, 13:1097 – 1157.
  • Serena Dato, Alberto Montesanto, Vincenzo Lagani, Bernard Jeune, Kaare Christensen and G. Passarino (2012). Frailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty. AGE, 34(3):571:582.
  • Alberto Montesanto, Vincenzo Lagani, Cinzia Martino, Serena Dato, Francesco De Rango, Maurizio Berardelli, Andrea Corsonello, Bruno Mazzei, Vincenzo Mari, Fabrizia Lattanzio, Domenico Conforti and Giuseppe Passarino (2010). A novel, population specific approach to define frailty. AGE, 32(3):385 – 395.
  • Vincenzo Lagani, Alberto Montesanto, Fausta Di Cianni, Victor Moreno, Stefano Landi, Domenico Conforti, Giuseppina Rose and Giuseppe Passarino (2009). A novel similarity measure for the analysis of genetic data in complex phenotypes. BMC Bioinformatics, 10 Suppl. 6:S24.
  • Giuliano Dolce, Maria Quintieri, Sebastiano Serra, Vincenzo Lagani and Loris Pignolo (2008). Clinical signs and early prognosis in vegetative state: a decisional tree, data mining study. Brain Injury, 22(7):61723.
  • Giuliano Dolce, Maria Quintieri, Elio Leto, Michele Milano, Antonio Pileggi, Vincenzo Lagani and Loris Pignolo (2008). Dysautonomia and clinical outcome in vegetative state. Journal of Neurotrauma, 25:1079–
  • Domenico Conforti, Domenico Costanzo, Vincenzo Lagani, Francesco Perticone, Gianfranco Parati, Kalina KaweckaJaszcz, Andrew Marsh, Christos Biniaris, Manolis Stratakis, Riccardo Fontanelli, Davide Guerri, Ovidio Salvetti, Manolis Tsiknakis, Franco Chiarugi, Dragan Gamberger and Mariaconsuelo Valentini (2006). HEARTFAID: A Knowledge Based Platform for Supporting the Clinical Management of Elderly Patients with Heart Failure. The Journal on Information Technology in Healthcare, 4(5):283–300.

Current Courses

Course Catalog

Title: Introduction to programming for bioinformatics
Period: Autumn Semester
Level: M.Sc.
Title: Methods in bioinformatics
Period: Spring Semester
Level: M.Sc.
Title: Programming and methods for bioinformatics
Period: Spring Semester
Level: Ph.D.