Ioannis Tsamardinos

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Cognitive Impairment

Multiple Sclerosis

Top Venues

Scientific reports

Journal of clinical medicine

Cytometry. Part A : the journal of the International Society for Analytical Cytology

Machine learning

This page only lists publications with an associated author ORCID identifier.

Publications

Georgia Chatzinikolaou, Kalliopi Stratigi, Athanasios Siametis, Evi Goulielmaki, Alexia Akalestou-Clocher, Ioannis Tsamardinos, Pantelis Topalis, Caroline Austin, Britta A M Bouwman, Nicola Crosetto, Janine Altmüller, George A Garinis
XPF interacts with TOP2B for R-loop processing and DNA looping on actively transcribed genes. Science advances 9 (45) (2023)
Scott Bowler, Georgios Papoutsoglou, Aristides Karanikas, Ioannis Tsamardinos, Michael J Corley, Lishomwa C Ndhlovu
A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity. Scientific reports 12 (1) (2022)
Ioannis Tsamardinos, Paulos Charonyktakis, Georgios Papoutsoglou, Giorgos Borboudakis, Kleanthi Lakiotaki, Jean Claude Zenklusen, Hartmut Juhl, Ekaterini Chatzaki, Vincenzo Lagani
Just Add Data: automated predictive modeling for knowledge discovery and feature selection. NPJ precision oncology 6 (1) (2022)
Ioulia Karagiannaki, Krystallia Gourlia, Vincenzo Lagani, Yannis Pantazis, Ioannis Tsamardinos
Learning biologically-interpretable latent representations for gene expression data: Pathway Activity Score Learning Algorithm. Machine learning 112 (11) (2022)
John L Marshall, Beth N Peshkin, Takayuki Yoshino, Jakob Vowinckel, Håvard E Danielsen, Gerry Melino, Ioannis Tsamardinos, Christian Haudenschild, David J Kerr, Carlos Sampaio, Sun Young Rha, Kevin T FitzGerald, Eric C Holland, David Gallagher, Jesús García-Foncillas, Hartmut Juhl
The Essentials of Multiomics. The oncologist 27 (4) (2022)
Makrina Karaglani, Maria Panagopoulou, Christina Cheimonidi, Ioannis Tsamardinos, Efstratios Maltezos, Nikoloas Papanas, Dimitrios Papazoglou, Mastorakos George, Ekaterini Chatzaki
Liquid Biopsy in Type 2 Diabetes Mellitus Management: Building Specific Biosignatures via Machine Learning. Journal of clinical medicine 11 (4) (2022)
Giorgos Borboudakis, Ioannis Tsamardinos
Extending greedy feature selection algorithms to multiple solutions. Data mining and knowledge discovery 35 (4) (2021)
Makrina Karaglani, Krystallia Gourlia, Ioannis Tsamardinos, Ekaterini Chatzaki
Accurate Blood-Based Diagnostic Biosignatures for Alzheimer's Disease via Automated Machine Learning. Journal of clinical medicine 9 (9) (2020)
Kleio-Maria Verrou, Ioannis Tsamardinos, Georgios Papoutsoglou
Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative Study. Cytometry. Part A : the journal of the International Society for Analytical Cytology 97 (3) (2020)
Karen-Inge Karstoft, Ioannis Tsamardinos, Kasper Eskelund, Søren Bo Andersen, Lars Ravnborg Nissen
Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning. JMIR medical informatics 8 (7) (2020)
Sunjay Jude Fernandes, Hiromasa Morikawa, Ewoud Ewing, Sabrina Ruhrmann, Rubin Narayan Joshi, Vincenzo Lagani, Nestoras Karathanasis, Mohsen Khademi, Nuria Planell, Angelika Schmidt, Ioannis Tsamardinos, Tomas Olsson, Fredrik Piehl, Ingrid Kockum, Maja Jagodic, Jesper Tegnér, David Gomez-Cabrero
Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients. Scientific reports 9 (1) (2019)
Georgios Papoutsoglou, Vincenzo Lagani, Angelika Schmidt, Konstantinos Tsirlis, David-Gómez Cabrero, Jesper N Tegnér, Ioannis Tsamardinos
Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization. Cytometry. Part A : the journal of the International Society for Analytical Cytology 95 (11) (2019)
Kleanthi Lakiotaki, George Georgakopoulos, Elias Castanas, Oluf Dimitri Røe, Giorgos Borboudakis, Ioannis Tsamardinos
A data driven approach reveals disease similarity on a molecular level. NPJ systems biology and applications 5 (2019)
Michail Tsagris, Ioannis Tsamardinos
Feature selection with the R package MXM. F1000Research (2018)
Michail Tsagris, Ioannis Tsamardinos
Feature selection with the R package MXM. F1000Research 7 (2018)
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides
A greedy feature selection algorithm for Big Data of high dimensionality. Machine learning 108 (2) (2018)
Sofia Triantafillou, Vincenzo Lagani, Christina Heinze-Deml, Angelika Schmidt, Jesper Tegner, Ioannis Tsamardinos
Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells. Scientific reports 7 (1) (2017)